Paper-Reading-ConvAI

Paper reading list in Conversational AI, mainly encompassing 💬 dialogue systems and 📝 natural language generation. This repository is constantly updating 🤗 ...

Deep Learning in NLP
Dialogue Systems
Natural Language Generation

Deep Learning in NLP

iNLP: "Interactive Natural Language Processing". arXiv(2023) [paper] ⭐⭐⭐⭐
Data Augmentation: "A Survey of Data Augmentation Approaches for NLP". ACL-Findings(2021) [paper]
Prompting: "Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing". arXiv(2021) [paper] ⭐⭐⭐⭐⭐
NLP World Scope: "Experience Grounds Language". EMNLP(2020) [paper] ⭐⭐⭐⭐⭐
Transformer-XL: "Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context". ACL(2019) [paper] [code]
Transformer: "Attention is All you Need". NeurIPS(2017) [paper] [code-official] [code-tf] [code-py] ⭐⭐⭐⭐⭐
VAE: "An Introduction to Variational Autoencoders". arXiv(2019) [paper]
Survey on Attention: "An Introductory Survey on Attention Mechanisms in NLP Problems". arXiv(2018) [paper] ⭐⭐⭐⭐⭐
Additive Attention: "Neural Machine Translation by Jointly Learning to Align and Translate". ICLR(2015) [paper]
Multiplicative Attention: "Effective Approaches to Attention-based Neural Machine Translation". EMNLP(2015) [paper]
Memory Net: "End-To-End Memory Networks". NeurIPS(2015) [paper]
Copy Mechanism (PGN): "Get To The Point: Summarization with Pointer-Generator Networks". ACL(2017) [paper] [code] ⭐⭐⭐⭐⭐
Copy Mechanism: "Incorporating Copying Mechanism in Sequence-to-Sequence Learning". ACL(2016) [paper]
ELMo: "Deep contextualized word representations". NAACL(2018) [paper] [code]
Glove: "GloVe: Global Vectors for Word Representation". EMNLP(2014) [paper] [code]
Word2Vec Tutorial: "word2vec Parameter Learning Explained". arXiv(2016) [paper] ⭐⭐⭐⭐⭐
Multi-task Learning: "An Overview of Multi-Task Learning in Deep Neural Networks". arXiv(2017) [paper]
Gradient Descent: "An Overview of Gradient Descent Optimization Algorithms". arXiv(2016) [paper] ⭐⭐⭐⭐⭐

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Dialogue Systems

Survey on Dialogue

Data Generation: "A Survey on Recent Advances in Conversational Data Generation". arXiv(2024) [paper]
Proactive Dialogue: "A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects". IJCAI(2023) [paper]
Responsible Dialogue: "Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey". arXiv(2023) [paper]
Negotiation Dialogue: "Let's Negotiate! A Survey of Negotiation Dialogue Systems". arXiv(2022) [paper]
DL-based Dialogue: "Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey". arXiv(2021) [paper] ⭐⭐⭐⭐
Open-domain Dialogue: "Challenges in Building Intelligent Open-domain Dialog Systems". TOIS(2020) [paper]
Dialogue Systems: "A Survey on Dialogue Systems: Recent Advances and New Frontiers". SIGKDD Explorations(2017) [paper]
Dialogue Corpora: "A Survey of Available Corpora For Building Data-Driven Dialogue Systems". arXiv(2017) [paper] [data]

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Conversational LLMs

Parrot: "Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions". arXiv(2023) [paper]
MemoChat: "MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation". arXiv(2023) [paper]
Llama 2-Chat: "Llama 2: Open Foundation and Fine-Tuned Chat Models". Meta(2023) [paper] [code]
ChatGLM3: "ChatGLM3 Series: Open Bilingual Chat LLMs". Tsinghua(2023) [code]
ChatGLM2-6B: "ChatGLM2-6B: An Open Bilingual Chat LLM". Tsinghua(2023) [code]
MPC: "Prompted LLMs as Chatbot Modules for Long Open-domain Conversation". ACL-Findings(2023) [paper] [code]
MemoryBank-SiliconFriend: "MemoryBank: Enhancing Large Language Models with Long-Term Memory". arXiv(2023) [paper] [code]
UltraChat: "Enhancing Chat Language Models by Scaling High-quality Instructional Conversations". arXiv(2023) [paper] [data]
ChatAlpaca: "ChatAlpaca: A Multi-Turn Dialogue Corpus based on Alpaca Instructions". Github(2023) [data]
Phoenix: "Phoenix: Democratizing ChatGPT across Languages". arXiv(2023) [paper] [code]
Dolly: "Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM". Databricks(2023) [code]
Baize: "Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data". arXiv(2023) [paper] [code]
Vicuna: "Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90% ChatGPT Quality". LMSYS Org(2023) [Blog] [code]
Koala: "Koala: A Dialogue Model for Academic Research". UC Berkeley(2023) [Blog] [code]
BELLE: "BELLE: Be Everyone's Large Language model Engine". LianjiaTech(2023) [code]
Alpaca: "Alpaca: A Strong, Replicable Instruction-Following Model". Stanford(2023) [Blog] [code] [alpaca-lora]
ChatGLM-6B: "An Open Bilingual Dialogue Language Model". Tsinghua(2023) [code]
Open-Assistant: "Open Assistant: Conversational AI for everyone". Github(2023) [project] [code]
ChatGPT: "ChatGPT: Optimizing Language Models for Dialogue". OpenAI(2022) [Blog] ⭐⭐⭐⭐⭐
Sparrow: "Improving alignment of dialogue agents via targeted human judgements". arXiv(2022) [paper] [data]
BlenderBot3: "BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage". arXiv(2022) [paper]
LaMDA: "LaMDA: Language Models for Dialog Applications". arXiv(2022) [paper]
GODEL: "GODEL: Large-Scale Pre-Training for Goal-Directed Dialog". arXiv(2022) [paper] [code]
Anthropic Assistant-v2: "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback". arXiv(2022) [paper]
Anthropic Assistant: "A General Language Assistant as a Laboratory for Alignment". arXiv(2021) [paper]

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Multimodal Dialogue

Situated and Embodied Dialogue

SLL: "Large Language Model based Situational Dialogues for Second Language Learning". arXiv(2024) [paper]
Emb-Plan: "Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue". EMNLP(2023) [paper]
WTaG: "Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?". EMNLP-Findings(2023) [paper] [code]
SIMMC-VR: "SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams". ACL(2023) [paper] ⭐⭐⭐⭐
SURE: "Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark". ACL(2023) [paper] [data]
SUGAR: "A Textual Dataset for Situated Proactive Response Selection". ACL(2023) [paper] [data]
MindDial: "MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation". arXiv(2023) [paper]
HoloAssist: "HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World". ICCV(2023) [paper] [data] ⭐⭐⭐⭐
Collab: "Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue". IJCAI(2023) [paper] [code]
Alexa Arena: "Alexa Arena: A User-Centric Interactive Platform for Embodied AI". arXiv(2023) [paper] [code]
SEAGULL: "SEAGULL: An Embodied Agent for Instruction Following through Situated Dialog". Alexa Prize SimBot Challenge(2023) [paper]
SitCoM-DETR: "Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue". EACL-SRW(2023) [paper] [code]
MLR: "Improving Situated Conversational Agents with Step-by-Step Multi-modal Logic Reasoning". DSTC11(2023) [paper]
SimpleMTOD: "SimpleMTOD: A Simple Language Model for Multimodal Task-Oriented Dialogue with Symbolic Scene Representation". arXiv(2023) [paper]
SPRING: "SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph". AAAI(2023) [paper] [code]
DOROTHIE: "DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents". EMNLP-Findings(2022) [paper] [code] ⭐⭐⭐
LIGHT-curriculum: "Situated Dialogue Learning through Procedural Environment Generation". ACL(2022) [paper]
DANLI: "DANLI: Deliberative Agent for Following Natural Language Instructions". EMNLP(2022) [paper] [code]
PRS: "Learning to Mediate Disparities Towards Pragmatic Communication". ACL(2022) [paper] [code]
Joint-model: "Learning to Embed Multi-Modal Contexts for Situated Conversational Agents". NAACL-Findings(2022) [paper] [code]
TEACh_FILM: "Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue". EMNLP(2022) [paper] [code]
TEACh: "TEACh: Task-driven Embodied Agents that Chat". AAAI(2022) [paper] [data]
MindCraft: "MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks". EMNLP(2021) [paper] [code] ⭐⭐⭐
Multimodal-model: "Multimodal Interactions Using Pretrained Unimodal Models for SIMMC 2.0". DSTC10(2022) [paper] [code]
SIMMC 2.0: "SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations" EMNLP(2021) [paper] [code] ⭐⭐⭐⭐
MM-DST: "Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems". arXiv(2021) [paper]
SIMMC: "Situated and Interactive Multimodal Conversations". COLING(2020) [paper] [code]
Minecraft-BAP: "Learning to execute instructions in a Minecraft dialogue". ACL(2020) [paper] [code]
CerealBar: "Executing Instructions in Situated Collaborative Interactions". EMNLP(2019) [paper] [code]
Minecraft Dialogue: "Collaborative Dialogue in Minecraft". ACL(2019) [paper] [code]
CLG: "Collaborative Language Grounding Toward Situated Human‐Robot Dialogue". AI Magazine(2016) [paper] ⭐⭐⭐⭐
SHRD: "Back to the Blocks World: Learning New Actions through Situated Human-Robot Dialogue". SIGDIAL(2014) [paper]

Visually-grounded Dialogue

TIGER: "TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation". COLING(2024). [paper] [code]
DialogCC: "DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset". NAACL(2024) [paper] [data]
VLAW-MDM: "A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models". EMNLP(2023) [paper] [code]
VDialogUE: "VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue". arXiv(2023) [paper]
TextBind: "TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild". arXiv(2023) [paper] [data]
VSTAR: "VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions". ACL(2023) [paper] [data]
ComSet: "Multimodal Persona Based Generation of Comic Dialogs". ACL(2023) [paper] [code]
MPCHAT: "MPCHAT: Towards Multimodal Persona-Grounded Conversation". ACL(2023) [paper] [code]
PaCE: "PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts". ACL(2023) [paper] [code]
MMDialog: "MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation". ACL(2023) [paper] [data] ⭐⭐⭐
MDS-S2: "Dual Semantic Knowledge Composed Multimodal Dialog Systems". SIGIR(2023) [paper]
TikTalk: "TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat". arXiv(2023) [paper] [code]
CHAMPAGNE: "CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos". arXiv(2023) [paper] [code]
MMChat: "MMChat: Multi-Modal Chat Dataset on Social Media". LREC(2022) [paper] [code]
CRVD: "Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation". EMNLP-Findings(2022) [paper]
M3ED: "M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database". ACL(2022) [paper] [data]
MDRG: "Multimodal Dialogue Response Generation". ACL(2022) [paper]
UniTranSeR: "UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System". ACL(2022) [paper]
PhotoChat: "PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling". ACL(2021) [paper] [data]
Multi-Modal Dialogue: "Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images". ACL(2021) [paper] [code]
OpenViDial 2.0: "OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts". arXiv(2021) [paper] [data]
MMConv: "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains". SIGIR(2021) [paper] [data]
Image Chat: "Image Chat: Engaging Grounded Conversations". ACL(2020) [paper] [data]
MTN: "Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems". ACL(2019) [paper] [code] ⭐⭐⭐
MELD: "MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations". ACL(2019) [paper] [data]
CLEVR-Dialog: "CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog". NAACL(2019) [paper] [data]
VisDial-RL: "Improving Generative Visual Dialog by Answering Diverse Questions". EMNLP(2019) [paper] [code]
MMD: "Towards Building Large Scale Multimodal Domain-Aware Conversation Systems". AAAI(2018) [paper] [code]
Talk the Walk: "Talk the Walk: Navigating New York City through Grounded Dialogue". arXiv(2018) [paper] [code]
VisDial: "Visual Dialog". CVPR(2017) [paper] [code]

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Proactive Dialogue

Misc. of Proactive Dialogue

DPDP: "Planning Like Human: A Dual-process Framework for Dialogue Planning". arXiv(2024) [paper] [code]
PCA: "Towards Human-centered Proactive Conversational Agents". SIGIR(2024) [paper]
ProCoT: "Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration". EMNLP-Findings(2023) [paper] [code]
Tutorial: "Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond". ACL(2023) [paper]

Target-oriented Dialogue

PAI: "Towards Goal-oriented Intelligent Tutoring Systems in Online Education". arXiv(2023) [paper]
TopDial: "Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation". EMNLP(2023) [paper] [code]
RTCP: "Reinforced Target-driven Conversational Promotion". EMNLP(2023) [paper] [code]
MTGP: "MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns". ACL-Findings(2023) [paper] [code]
COLOR: "Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue". ACL-Findings(2023) [paper] [code] ⭐⭐⭐
TopKG: "TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph". COLING(2022) [paper] [code]
TGCP: "Target-Guided Open-Domain Conversation Planning". COLING(2022) [paper] [code]
FOP: "Long-term Control for Dialogue Generation: Methods and Evaluation". NAACL(2022) [paper] [code]
CODA: "Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation". NAACL-Findings(2022) [paper] [code]
OTTers: "OTTers: One-turn Topic Transitions for Open-Domain Dialogue". ACL(2021) [paper] [data]
CG-nAR: "Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems". EMNLP(2021) [paper] [code] ⭐⭐⭐
DuConv: "Proactive Human-Machine Conversation with Explicit Conversation Goals". ACL(2019) [paper] [code]
CKC: "Keyword-Guided Neural Conversational Model". AAAI(2021) [paper] [code]
KnowHRL: "Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation". AAAI(2020) [paper]
DKRN: "Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation". AAAI(2020) [paper] [code]
TGConv: "Target-Guided Open-Domain Conversation". ACL(2019) [paper] [code]

Non-collaborative Dialogue (Persuasion and Negotiation)

TRIP: "Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning". arXiv(2024) [paper]
INA: "INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System". EMNLP(2023) [paper] [data]
I-Pro: "Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy". SIGIR(2022) [paper]
PAAD: "Towards a Progression-Aware Autonomous Dialogue Agent". NAACL(2022) [paper] [code] ⭐⭐⭐
PersRFI: "Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration". EMNLP-Findings(2021) [paper] [code]
ResPer: "RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations". EACL(2021) [paper] [code]
ARDM: "Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models". EACL(2021) [paper] [code]
DialoGraph: "DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues". ICLR(2021) [paper] [code] ⭐⭐⭐
NegotiationToM: "Improving Dialog Systems for Negotiation with Personality Modeling". ACL(2021) [paper] [code]
FeHED: "Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History". ICLR(2020) [paper] [code]
CTX-PSA: "Learning to Plan and Realize Separately for Open-Ended Dialogue Systems". EMNLP-Findings(2020) [paper] [code]
Negotiation-Coach: "A Dynamic Strategy Coach for Effective Negotiation". SIGDIAL(2019) [paper] [code]
PersuasionForGood: "Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good". ACL(2019) [paper] [data]
CraigslistBargain: "Decoupling Strategy and Generation in Negotiation Dialogues". EMNLP(2018) [paper] [data]

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Personalized Dialogue

Character-based Dialogue

LLM-Werewolf: "Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf". arXiv(2023) [paper]
ChatHaruhi: "ChatHaruhi: Reviving Anime Character in Reality via Large Language Model". arXiv(2023) [report] [code]
DPCD: "Hi Sheldon! Creating Deep Personalized Characters from TV Shows". arXiv(2023) [paper] [data]
Cornell-Rich: "Personalised Language Modelling of Screen Characters Using Rich Metadata Annotations". arXiv(2023) [paper] [data]
KNUDGE: "Ontologically Faithful Generation of Non-Player Character Dialogues". arXic(2022) [paper]
HPD: "Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters". arXiv(2022) [paper] [data]
DialStory: "A Benchmark for Understanding and Generating Dialogue between Characters in Stories". arXiv(2022) [paper]
CareCall: "Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models". NAACL(2022) [paper] [data]
PDP: "Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances". NAACL(2022) [paper] [code]
RPA: "Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity". NAACL-Findings(2022) [paper]
CharacterChat: "CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot". ACM C&C(2021）[paper]
ALOHA: "ALOHA: Artificial Learning of Human Attributes for Dialogue Agents". AAAI(2020) [paper] [code]
LIGHT: "Learning to Speak and Act in a Fantasy Text Adventure Game". EMNLP(2019) [paper] [data] ⭐⭐⭐

Personality-aware Dialogue

UBPL: "Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons". arXiv(2023) [paper]
CharacterChat: "CharacterChat: Learning towards Conversational AI with Personalized Social Support". arXiv(2023) [paper] [code]
ChatGPT-MBTI: "Can ChatGPT Assess Human Personalities? A General Evaluation Framework". arXiv(2023) [paper] [code]
Prompted Personality: "Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning". IWSDS(2023) [paper]
CPED: "CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI". arXiv(2022) [paper] [data] ⭐⭐⭐
PELD: "Automatically Select Emotion for Response via Personality-affected Emotion Transition". ACL-Findings(2021) [paper] [data]
FriendsPersona: "Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings". AAAI-Student Abstract(2020) [paper] [data]
APR: "Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue". INTERSPEECH(2019) [paper]
PersonalDilaog: "Personalized Dialogue Generation with Diversified Traits". arXiv(2019) [paper] [data]
PersonageNLG: "Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators". SIGDIAL(2018) [paper] [data]

Persona-based Dialogue

ComperDial: "ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark". arXiv(2024) [paper]
IDL: ""In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning". arXiv(2024) [paper]
DialogICL: "Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation". arXiv(2024) [paper]
VaRMI: "Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning". EMNLP(2023) [paper] [code]
OPELA: "When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus". arXiv(2023) [paper] [data]
ORIG: "Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization". ACL-Findings(2023) [paper] [code]
CLV: "Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona". ACL(2023) [paper] [code]
SimOAP: "SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation". ACL(2023) [paper] [code]
LMEDR: "Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues". AAAI(2023) [paper] [code]
Retrieval-to-Prediction: "Improving Personality Consistency in Conversation by Persona Extending". CIKM(2022) [paper] [code]
Implicit-Persona: "A Personalized Dialogue Generator with Implicit User Persona Detection". COLING(2022) [paper]
CareCallMemory: "Keep Me Updated! Memory Management in Long-term Conversations". EMNLP-Findings(2022) [paper] [data]
PersonaDefense: "You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas". NAACL(2022) [paper] [code]
Prompt-Tuning: "Building a Personalized Dialogue System with Prompt-Tuning". NAACL-SRW(2022) [paper]
DuLeMon: "Long Time No See! Open-Domain Conversation with Long-Term Persona Memory". ACL-Findings(2022) [paper] [data] ⭐⭐⭐
INFO: "You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona". EMNLP-Findings(2022) [paper] [code]
FoCus: "Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge". AAAI(2022) [paper] [code] ⭐⭐⭐
MSP: "Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation". NAACL(2022) [paper]
GME: "Transferable Persona-Grounded Dialogues via Grounded Minimal Edits". EMNLP(2021) [paper] [code]
BoB: "BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data". ACL(2021) [paper] [code]
PABST: "Unsupervised Enrichment of Persona-grounded Dialog with Background Stories". ACL(2021) [paper] [code]
DHAP: "One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles". SIGIR(2021) [paper]
Pchatbot: "Pchatbot: A Large-Scale Dataset for Personalized Chatbot". SIGIR(2021) [paper] [data] ⭐⭐⭐
COMPAC: "Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions". EMNLP(2020) [paper] [code]
pragmatic-consistency: "Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness". EMNLP(2020) [paper] [code] ⭐⭐⭐⭐
XPersona: "XPersona: Evaluating Multilingual Personalized Chatbot". arXiv(2020) [paper] [data]
KvPI: "Profile Consistency Identification for Open-domain Dialogue Agents". EMNLP(2020) [paper] [code]
GDR: "Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation". ACL(2020) [paper]
P^2Bot: "You Impress Me: Dialogue Generation via Mutual Persona Perception". ACL(2020) [paper] [code]
RCDG: "Generating Persona Consistent Dialogues by Exploiting Natural Language Inference". AAAI(2020) [paper] [code]
Persona-sparse: "A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data". AAAI(2020) [paper]
PersonaWAE: "Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders". EMNLP(2019) [paper]
PAML: "Personalizing Dialogue Agents via Meta-Learning". ACL(2019) [paper] [code]
PersonaChat: "Personalizing Dialogue Agents: I have a dog, do you have pets too?" ACL(2018) [paper] [data] ⭐⭐⭐
PCCM: "Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation". IJCAI(2018) [paper]

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Emotional Dialogue

Emotional Support Dialogue

ESCoT: "ESCoT: Towards Interpretable Emotional Support Dialogue Systems". ACL(2024) [paper] [code]
DDRCU: "Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation". SIGIR(2024) [paper] [code]
KEMI: "Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations". ACL(2023) [paper] [code] ⭐⭐⭐⭐
CSConv: "A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment". ACL(2023) [paper] [code]
AugESC: "AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation". ACL-Findings(2023) [paper]
TransESC: "TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition". ACL-Findings(2023) [paper] [code]
PAL: "PAL: Persona-Augmented Emotional Support Conversation Generation". ACL-Findings(2023) [paper] [code]
MultiESC: "Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning". EMNLP(2022) [paper] [code] ⭐⭐⭐⭐
MISC: "MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation". ACL(2022) [paper] [code]
C3KG: "C3KG: A Chinese Commonsense Conversation Knowledge Graph". ACL-Findings(2022) [paper] [data]
GLHG: "Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation". IJCAI(2022) [paper]
ESConv: "Towards Emotional Support Dialog Systems". ACL(2021) [paper] [data] ⭐⭐⭐⭐

Empathetic Dialogue

E-CORE: "E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation" EMNLP(2023) [paper]
EmpSOA: "Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness". ACL-Findings(2023) [paper] [code]
CASE: "CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation". ACL(2023) [paper] [code]
CARE: "CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation". EMNLP-Findings(2022) [paper] [code]
EmpGPT-3: "Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue Generation". COLING(2022) [paper] [code]
PosEmoDial: "Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation". arXiV(2022) [paper]
CEM: "CEM: Commonsense-aware Empathetic Response Generation". AAAI(2022) [paper] [code]
GEE: "Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes". EMNLP(2021) [paper] [code]
RecEC: "Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations". EMNLP-Findings(2021) [paper] [code]
CoMAE: "CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation". ACL-Findings(2021) [paper] [code]
CARE: "CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts". AAAI(2021) [paper] [code]
EmpDG: "EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation". COLING(2020) [paper] [code]
MIME: "MIME: MIMicking Emotions for Empathetic Response Generation". EMNLP(2020) [paper] [code]
PEC: "Towards Persona-Based Empathetic Conversational Models". EMNLP(2020) [paper] [code]
MoEL: "MoEL: Mixture of Empathetic Listeners". EMNLP(2019) [paper] [code]
EmpatheticDialogues: "Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset". ACL(2019) [paper] [data] ⭐⭐⭐
EmoDS: "Generating Responses with a Specific Emotion in Dialog". ACL(2019) [paper]
MojiTalk: "MojiTalk: Generating Emotional Responses at Scale". ACL(2018) [paper]
ECM: "Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory". AAAI(2018) [paper] [code]

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Recommendation Dialogue and CRS

TCP-Dial: "Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems". arXiv(2022) [paper] [code]
KERS: "KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals". EMNLP-Findings(2021) [paper] [code]
DuRecDial2.0: "DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation". EMNLP(2021) [paper] [code]
DuRecDial: "Towards Conversational Recommendation over Multi-Type Dialogs". ACL(2020) [paper] [code] ⭐⭐⭐⭐
TG-ReDial: "Towards Topic-Guided Conversational Recommender System". COLING(2020) [paper] [code]
INSPIRED: "INSPIRED: Toward Sociable Recommendation Dialog Systems". EMNLP(2020) [paper] [data]
GoRecDial: "Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue". EMNLP(2019) [paper] [code]
CRS-Survey: "A Survey on Conversational Recommender Systems". ACM Computing Surveys(2021) [paper]
CRS-Survey: "Advances and Challenges in Conversational Recommender Systems: A Survey ". arXiv(2021) [paper]
CRSLab: "CRSLab: An Open-Source Toolkit for Building Conversational Recommender System". arXiv(2021) [paper] [code] ⭐⭐⭐
MESE: "Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information". NAACL(2022) [paper] [code]
C2-CRS: "C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System". WSDM(2022) [paper] [code]
BotPlay: "Self-Supervised Bot Play for Conversational Recommendation with Justifications". arXiv(2021) [paper]
RID: "Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph". arXiv(2021) [paper] [code]
CRFR: "CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs". EMNLP(2021) [paper]
NTRD: "Learning Neural Templates for Recommender Dialogue System". EMNLP(2021) [paper] [code]
CR-Walker: "CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation". EMNLP(2021) [paper] [code] ⭐⭐⭐⭐
RevCore: "RevCore: Review-augmented Conversational Recommendation". ACL-Findings(2021) [paper] [code]
KECRS: "KECRS: Towards Knowledge-Enriched Conversational Recommendation System". arXiv(2021) [paper]
FPAN: "Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation". WSDM(2021) [paper] [code]
UNICORN: "Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning". SIGIR(2021) [paper] [code]
KGSF: "Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion". KDD(2020) [paper] [code]
CPR: "Interactive Path Reasoning on Graph for Conversational Recommendation". KDD(2020) [paper] [code]
EAR: "Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems". WSDM(2020) [paper] [code]
KBRD: "Towards Knowledge-Based Recommender Dialog System". EMNLP(2019) [paper] [code]
ReDial: "Towards Deep Conversational Recommendations". NeurIPS(2018) [paper] [data]

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Knowledge-grounded Dialogue

DOCTOR: "Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents". EMNLP(2023) [paper] [code] [demo] ⭐⭐⭐⭐
GATE: "Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue". EMNLP(2023) [paper] [code]
CONNER: "Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators". EMNLP(2023) [paper] [code]
K-DIAL: "Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment". EMNLP-Findings(2023) [paper]
GLM-Dialog: "GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation". arXiv(2023) [paper] [code]
RHO: "RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding". ACL-Findings(2023) [paper] [code]
MultiRefKGC: "There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning". EMNLP(2022) [paper] [code] ⭐⭐⭐
CorefDiffs: "CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations". COLING(2022) [paper] [code]
DTR: "Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting". NAACL(2022) [paper] [code]
XDAI: "XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation". KDD(2022) [paper] [code]
PersonaKGC: "There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory". ACL(2022) [paper] [code]
KI: "Lexical Knowledge Internalization for Neural Dialog Generation". ACL(2022) [paper] [code]
DiffKG: "Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems". ACL-Findings(2022) [paper] [code] ⭐⭐⭐
KSAM: "KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding". ACL-Findings(2022) [paper]
MDSP: "Multi-Stage Prompting for Knowledgeable Dialogue Generation". ACL-Findings(2022) [paper] [code]
FSB: "Few-Shot Bot: Prompt-Based Learning for Dialogue Systems". arXiv(2021) [paper] [code] ⭐⭐⭐
P-GDG: "Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation". arXiv(2021) [paper]
KAT-TSLF: "A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation". EMNLP(2021) [paper] [code]
DIALKI: "DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization". EMNLP(2021) [paper] [code]
CoLV: "CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation". EMNLP(2021) [paper]
SKT-KG: "Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition". NAACL(2021) [paper]
MSKE: "More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge". EMNLP(2021) [paper] [code]
EARL: "EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning". EMNLP(2021) [paper] [code]
KGD-CF: "Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features". ACL(2021) [paper]
SECE: "Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer". ACL(2021) [paper] [code] ⭐⭐⭐
MIKe: "Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations". SIGIR(2021) [paper] [code]
GOKC: "Learning to Copy Coherent Knowledge for Response Generation". AAAI(2021) [paper] [code]
KnowledGPT: "Knowledge-Grounded Dialogue Generation with Pre-trained Language Models". EMNLP(2020) [paper] [code]
DiffKS: "Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation". EMNLP-Findings(2020) [paper] [code]
DukeNet: "DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation". SIGIR(2020) [paper] [code]
CCN: "Cross Copy Network for Dialogue Generation". EMNLP(2020) [paper] [code]
PIPM: "Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation". EMNLP(2020) [paper]
ConceptFlow: "Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs". ACL(2020) [paper] [code] ⭐⭐⭐⭐
ConKADI: "Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness". ACL(2020) [paper] [code] ⭐⭐⭐
KIC: "Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy". ACL(2020) [paper]
SKT: "Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue". ICLR(2020) [paper] [code] ⭐⭐⭐
KdConv: "KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation". ACL(2020) [paper] [data]
TransDG: "Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering". AAAI(2020) [paper] [code]
RefNet: "RefNet: A Reference-aware Network for Background Based Conversation". AAAI(2020) [paper] [code]
GLKS: "Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation". AAAI(2020) [paper] [code]
AKGCM: "Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs". EMNLP(2019) [paper] [code]
DyKgChat: "DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs". EMNLP(2019) [paper] [code]
OpenDialKG: "OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs". ACL(2019) [paper] [data]
WoW: "Wizard of Wikipedia: Knowledge-Powered Conversational agents". ICLR(2019) [paper]
PostKS: "Learning to Select Knowledge for Response Generation in Dialog Systems". IJCAI(2019) [paper] [code-1] [code-2] ⭐⭐⭐
NKD: "Knowledge Diffusion for Neural Dialogue Generation". ACL(2018) [paper] [data]
Dual Fusion: "Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm". IJCAI(2018) [paper]
CCM: "Commonsense Knowledge Aware Conversation Generation with Graph Attention". IJCAI(2018) [paper] [code-tf] [code-py] ⭐⭐⭐⭐⭐
MTask: "A Knowledge-Grounded Neural Conversation Model". AAAI(2018) [paper]
GenDS: "Flexible End-to-End Dialogue System for Knowledge Grounded Conversation". arXiv(2017) [paper]

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Task-oriented Dialogue

P-ToD: "Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function". CIKM(2022) [paper]
Dialogic: "Dialogic: Controllable Dialogue Simulation with In-Context Learning". EMNLP-Findings(2022) [paper] [code] ⭐⭐⭐
KB-Adapter: "Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems". EMNLP(2022) [paper] [code]
TacoBot: "Bootstrapping a User-Centered Task-Oriented Dialogue System". Proceedings of Alexa Prize TaskBot(2021) [paper] ⭐⭐⭐
USDA: "User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems". WWW(2022) [paper] [code]
USS: "Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems". SIGIR(2021) [paper] [data]
NS-Dial: "An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation". ACL(2022) [paper] [code]
GALAXY: "GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection". AAAI(2022) [paper] [code]
PPTOD: "Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System". arXiv(2021) [paper] [code]
ToDCL: "Continual Learning in Task-Oriented Dialogue Systems". EMNLP(2021) [paper] [code]
IR-Net: "Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue". EMNLP(2021) [paper]
HyKnow: "HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management". ACL-Findings(2021) [paper] [code]
DDMN: "Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems". COLING(2020) [paper] [code] ⭐⭐⭐
ToD-BERT: "ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues". EMNLP(2020) [paper] [code]
GraphDialog: "GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems". EMNLP(2020) [paper] [code]
MARCO: "Multi-Domain Dialogue Acts and Response Co-Generation". ACL(2020) [paper] [code]
DF-Net: "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog". ACL(2020) [paper] [code]
MALA: "MALA: Cross-Domain Dialogue Generation with Action Learning". AAAI(2020) [paper]
SGD: "Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset". AAAI(2020) [paper] [data]
CrossWOZ: "CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset". TACL(2020) [paper] [code]
MultiWOZ: "MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling". EMNLP(2018) [paper] [code]
Neural Task-Oriented Dialogue: "Learning to Memorize in Neural Task-Oriented Dialogue Systems". MPhil Thesis(2019) [paper] ⭐⭐⭐⭐
GLMP: "Global-to-local Memory Pointer Networks for Task-Oriented Dialogue". ICLR(2019) [paper] [code] ⭐⭐⭐⭐⭐
KB Retriever: "Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever". EMNLP(2019) [paper] [data]
TRADE: "Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems". ACL(2019) [paper] [code]
WMM2Seq: "A Working Memory Model for Task-oriented Dialog Response Generation". ACL(2019) [paper]
Pretrain-Fine-tune: "Training Neural Response Selection for Task-Oriented Dialogue Systems". ACL(2019) [paper] [data]
Multi-level Mem: "Multi-Level Memory for Task Oriented Dialogs". NAACL(2019) [paper] [code] ⭐⭐⭐
BossNet: "Disentangling Language and Knowledge in Task-Oriented Dialogs ". NAACL(2019) [paper] [code]
SDN: "Subgoal Discovery for Hierarchical Dialogue Policy Learning". EMNLP(2018) [paper] ⭐⭐⭐
D3Q: "Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning". EMNLP(2018) [paper] [code]
DDQ: "Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning". ACL(2018) [paper] [code]
MAD: "Memory-augmented Dialogue Management for Task-oriented Dialogue Systems". TOIS(2018) [paper]
TSCP: "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures". ACL(2018) [paper] [code]
Mem2Seq: "Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems". ACL(2018) [paper] [code] ⭐⭐⭐⭐
Topic-Seg-Label: "A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning". IJCAI(2018) [paper] [code]
AliMe: "AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine". ACL(2017) [paper]
KVR Net: "Key-Value Retrieval Networks for Task-Oriented Dialogue". SIGDIAL(2017) [paper] [data]

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Open-domain Dialogue

Long-term Dialogue

THEANINE: "THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation". arXiv(2024) [paper]
LD-Agent: "Hello Again! LLM-powered Personalized Agent for Long-term Dialogue". arXiv(2024) [paper] [code]
CPD: "Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue". IJCAI(2024) [paper]
TemporalMemory: "Toward Conversational Agents with Context and Time Sensitive Long-term Memory". arXiv(2024) [paper] [data]
LoCoMo: "Evaluating Very Long-Term Conversational Memory of LLM Agents". arXiv(2024) [paper] [data] ⭐⭐⭐
Conversation Chronicles: "Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations". EMNLP(2023) [paper] [data]
GapChat: "Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation". EMNLP-Findings(2023) [paper] [data]
UniMC: "UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning". arXiv(2023) [paper]
RS: "Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models". arXiv(2023) [paper]
MSC: "Beyond Goldfish Memory: Long-Term Open-Domain Conversation". ACL(2022) [paper] [data] ⭐⭐⭐

Response Generation

Overview: "Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next". ACL-NLP4ConvAI(2022) [paper] ⭐⭐⭐
Chirpy Cardinal: "Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent". SIGDIAL(2022) [paper] [code] [project]
TIL: "Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure". EMNLP(2022) [paper]
ProphetChat: "ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation". ACL(2022) [paper]
DialoFlow: "Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances". ACL(2021) [paper] [code]
DiSCoL: "DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation". NAACL(2021) [paper] [code]
DialogBERT: "DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances". AAAI(2021) [paper]
BlenderBot: "Recipes for Building an Open-Domain Chatbot". EACL(2021) [paper] [code]
CDial-GPT: "A Large-Scale Chinese Short-Text Conversation Dataset". NLPCC(2020) [paper] [code]
DialoGPT: "DialoGPT : Large-Scale Generative Pre-training for Conversational Response Generation". ACL(2020) [paper] [code] ⭐⭐⭐⭐
CG-Policy: "Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation". ACL(2020) [paper]
PLATO-XL: "PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation". arXiv(2021) [paper] [code]
PLATO-2: "PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning". ACL-Findings(2021) [paper] [code]
PLATO: "PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable". ACL(2020) [paper] [code]
Guyu: "An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation". arXiv(2020) [paper] [code]
CL4Dialogue: "Group-wise Contrastive Learning for Neural Dialogue Generation". EMNLP-Findings(2020) [paper] [code] ⭐⭐⭐
Neg-train: "Negative Training for Neural Dialogue Response Generation". ACL(2020) [paper] [code]
HDSA: "Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention". ACL(2019) [paper] [code] ⭐⭐⭐
CAS: "Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory". NAACL(2019) [paper] [code]
Edit-N-Rerank: "Response Generation by Context-aware Prototype Editing". AAAI(2019) [paper] [code] ⭐⭐⭐
HVMN: "Hierarchical Variational Memory Network for Dialogue Generation". WWW(2018) [paper] [code]
XiaoIce: "The Design and Implementation of XiaoIce, an Empathetic Social Chatbot". arXiv(2018) [paper] ⭐⭐⭐
D2A: "Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base". NeurIPS(2018) [paper] [code]
DAIM: "Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization". NeurIPS(2018) [paper]
REASON: "Dialog Generation Using Multi-turn Reasoning Neural Networks". NAACL(2018) [paper]
STD/HTD: "Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders". ACL(2018) [paper] [code]
CSF: "Generating Informative Responses with Controlled Sentence Function". ACL(2018) [paper] [code]
DAWnet: "Chat More: Deepening and Widening the Chatting Topic via A Deep Model". SIGIR(2018) [paper] [code]
ZSDG: "Zero-Shot Dialog Generation with Cross-Domain Latent Actions". SIGDIAL(2018) [paper] [code]
DUA: "Modeling Multi-turn Conversation with Deep Utterance Aggregation". COLING(2018) [paper] [code]
Data-Aug: "Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding". COLING(2018) [paper] [code]
DC-MMI: "Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints". EMNLP(2018) [paper] [code]
cVAE-XGate/CGate: "Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity". EMNLP(2018) [paper] [code]
Retrieval+multi-seq2seq: "An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems". IJCAI(2018) [paper]
DAM: "Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network". ACL(2018) [paper] [code] ⭐⭐⭐⭐
SMN: "Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots". ACL(2017) [paper] [code] ⭐⭐⭐
CVAE/KgCVAE: "Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders". ACL(2017) [paper] [code] ⭐⭐⭐
TA-Seq2Seq: "Topic Aware Neural Response Generation". AAAI(2017) [paper] [code]
MA: "Mechanism-Aware Neural Machine for Dialogue Response Generation". AAAI(2017) [paper]
VHRED: "A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues". AAAI(2017) [paper] [code]
HRED: "Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models". AAAI(2016) [paper] [code]
RL-Dialogue: "Deep Reinforcement Learning for Dialogue Generation". EMNLP(2016) [paper]
MMI: "A Diversity-Promoting Objective Function for Neural Conversation Models". NAACL(2016) [paper] [code]

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Dialogue Evaluation

DialogBench: "DialogBench: Evaluating LLMs as Human-like Dialogue Systems". NAACL(2024) [paper] [code]
ChatEval: "ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate". arXiv(2023) [paper] [code]
ACCENT: "ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems". ACL(2023) [paper] [code]
LLMEval: "Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation". IWSDS(2023) [paper]
ChatEvalPlatform: "Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems". arXiv(2022) [paper] [code]
MDD-Eval: "MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation". AAAI(2022) [paper] [code]
Self-Eval: "SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation". COLING(2022) [paper] [code]
FineD-Eval: "FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation". EMNLP(2022) [paper] [code]
FlowEval: "FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows". EMNLP(2022) [paper]
IM2: "IM^2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation". EMNLP(2022) [paper] [code]
Q^2: "$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering". EMNLP(2021) [paper] [code]
QuantiDCE: "Towards Quantifiable Dialogue Coherence Evaluation". ACL(2021) [paper] [code]
DynaEval: "DynaEval: Unifying Turn and Dialogue Level Evaluation". ACL(2021) [paper] [code]
Review: "How to Evaluate Your Dialogue Models: A Review of Approaches". arXiv(2021) [paper]
ConvLabEval: "Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation". SIGDIAL(2020) [paper]
FED: "Unsupervised Evaluation of Interactive Dialog with DialoGPT". SIGDIAL(2020) [paper] [code] [data] ⭐⭐⭐
Spot-the-Bot: "Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems". EMNLP(2020) [paper] [code]
CMADE: "Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation". ACL(2020) [paper] [code]
Coherence: "Dialogue Coherence Assessment Without Explicit Dialogue Act Labels". ACL(2020) [paper] [code]
MAUDE: "Learning an Unreferenced Metric for Online Dialogue Evaluation". ACL(2020) [paper] [code]
GRADE: "GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems". ACL(2020) [paper] [code]
uBLEU: "uBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems". ACL(2020) [paper] [code]
USR: "USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation". ACL(2020) [paper] [code]
ACUTE-EVAL: "ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons". NIPS ConvAI Workshop(2019) [paper] [code] ⭐⭐⭐
InteractiveEval: "Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems". NeurIPS(2019) [paper] [code] ⭐⭐⭐
ChatEval: "ChatEval: A Tool for Chatbot Evaluation". NAACL(2019) [paper] [project]
ADVMT: "One Ruler for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning". IJCAI(2018) [paper]

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Dialogue Misc.

ACT: "Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training". arXiv(2024) [paper]
ReviewMT: "Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions". arXiv(2024) [paper] [code]
WildChat: "WildChat: 1M ChatGPT Interaction Logs in the Wild". ICLR(2024) [paper] [data]
DialOp: "Decision-Oriented Dialogue for Human-AI Collaboration". arXiv(2023) [paper] [code] ⭐⭐⭐
DialogStudio: "DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI". arXiv(2023) [paper] [code]
MPC: "Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models". arXiv(2023) [paper] [code]
SODA: "SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization". EMNLP(2023) [paper] [code] ⭐⭐⭐
speaker-adaptation: "Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind". ACL-Findings(2023) [paper] [code]
SocialDial: "SocialDial: A Benchmark for Socially-Aware Dialogue Systems". SIGIR(2023) [paper] [data]
BotsTalk: "BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets". EMNLP(2022) [paper] [code]
Dialogic: "Dialogic: Controllable Dialogue Simulation with In-Context Learning". EMNLP-Findings(2022) [paper] [code]
ProsocialDialog: "ProsocialDialog: A Prosocial Backbone for Conversational Agents". EMNLP(2022) [paper] [code]
MIC: "The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems". ACL(2022) [paper] [code]
MoralDial: "MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions". arXiv(2022) [paper]
DECODE: "I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling". ACL(2021) [paper] [code]

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Natural Language Generation

Survey on NLG

CTG: "A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models". arXiv(2022) [paper]
RTG: "A Survey on Retrieval-Augmented Text Generation". arXiv(2022) [paper]
Hallucination: "Survey of Hallucination in Natural Language Generation". arXiv(2022) [paper]
Evaluation: "A Survey of Evaluation Metrics Used for NLG Systems". arXiv(2020) [paper]

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NLG Theories and Techniques

RED: "Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder". arXiv(2023) [paper] ⭐⭐⭐
LaMemo: "LaMemo: Language Modeling with Look-Ahead Memory". NAACL(2022) [paper] [code]
PTG: "Learning to Transfer Prompts for Text Generation". NAACL(2022) [paper] [code]
EISL: "Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation". NAACL(2022) [paper] [code]
CT-Loss: "A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration". arXiv(2022) [paper] [code]
SimCTG: "A Contrastive Framework for Neural Text Generation". NeurIPS(2022) [paper] [code] ⭐⭐⭐
CoNT: "CoNT: Contrastive Neural Text Generation". NeurIPS(2022) [paper] [code]
Two-level-CL: "Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation". ACL(2022) [paper]
CLAPS: "Contrastive Learning with Adversarial Perturbations for Conditional Text Generation". ICLR(2021) [paper] [code] ⭐⭐⭐⭐
RetGen: "RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling". AAAI(2022) [paper] [code]
RAG: "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks". NeurIPS(2020) [paper] [code] ⭐⭐⭐⭐
TextGAIL: "TextGAIL: Generative Adversarial Imitation Learning for Text Generation". AAAI(2021) [paper] [code]
Latent-GLAT: "latent-GLAT: Glancing at Latent Variables for Parallel Text Generation". ACL(2022) [paper] [code]
s2s-ft: "s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning". arXiv(2021) [paper] [code]
EBM: "Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?". EMNLP(2021) [paper]
DiscoDVT: "DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer". EMNLP(2021) [paper] [code]
DATG: "Data Augmentation for Text Generation Without Any Augmented Data". ACL(2021) [paper]
JointGT: "JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs". ACL-Findings(2021) [paper] [code]
Embedding-Transfer: "Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation". ACL(2021) [paper] [code]
FastSeq: "EL-Attention: Memory Efficient Lossless Attention for Generation". ICML(2021) [paper] [code] ⭐⭐⭐
BERTSeq2Seq: "Leveraging Pre-trained Checkpoints for Sequence Generation Tasks". TACL(2020) [paper] [code-tf] [code-py] ⭐⭐⭐
ERNIE-GEN: "ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation". IJCAI(2020) [paper] [code] ⭐⭐⭐
DITTO: "Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation". NeurIPS(2022) [paper] [code]
Repetition-Problem: "A Theoretical Analysis of the Repetition Problem in Text Generation". AAAI(2021) [paper] [code]
ENCONTER: "ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer". EACL(2021) [paper] [code]
POINTER: "POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training". EMNLP(2020) [paper] [code]
Cascaded Generation: "Cascaded Text Generation with Markov Transformers". NeurIPS(2020) [paper] [code]
SFOT: "Improving Text Generation with Student-Forcing Optimal Transport". EMNLP(2020) [paper]
OT-Seq2Seq: "Improving Sequence-to-Sequence Learning via Optimal Transport". ICLR(2019) [paper] [code]

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Diffusion Models for NLG

RenderDiffusion: "RenderDiffusion: Text Generation as Image Generation". arXiv(2023) [paper]
Masked-Diffusion-LM: "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise". arXiv(2023) [paper] [code]
discrete-diffusion: "A Reparameterized Discrete Diffusion Model for Text Generation". arXiv(2023) [paper] [code]
Difformer: "Difformer: Empowering Diffusion Models on the Embedding Space for Text Generation". arXiv(2023) [paper] ⭐⭐⭐
GENIE: "Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise". arXiv(2022) [paper] [code]
SED: "Self-conditioned Embedding Diffusion for Text Generation". arXiv(2022) [paper]
SSD-LM: "SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control". arXiv(2022) [paper] [code]
LD4LG: "Latent Diffusion for Language Generation". arXiv(2022) [paper] [code]
DiffusionBERT: "DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models". arXiv(2022) [paper] [code]
DiffusER: "DiffusER: Discrete Diffusion via Edit-based Reconstruction". arXiv(2022) [paper] [code]
SeqDiffuSeq: "SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers". arXiv(2022) [paper] [code]
DiffuSeq: "DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models". ICLR(2023) [paper] [code]
Diffusion-LM: "Diffusion-LM Improves Controllable Text Generation". NeurIPS(2022) [paper] [code] ⭐⭐⭐
D3PM: "Structured Denoising Diffusion Models in Discrete State-Spaces". NeurIPS(2021) [paper] [code]

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Controllable Generation

ConGenBench: "Controllable Text Generation in the Instruction-Tuning Era". arXiv(2024) [paper] [code]
GeLaTo: "Tractable Control for Autoregressive Language Generation". arXiv(2023) [paper]
Cognac: "Controllable Text Generation with Language Constraints". arXiv(2022) [paper] [code]
CriticControl: "Critic-Guided Decoding for Controlled Text Generation". arXiv(2022) [paper]
LatentOps: "Composable Text Controls in Latent Space with ODEs". arXiv(2022) [paper] [code]
FAST: "FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training". arXiv(2022) [paper]
DisCup: "DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation". EMNLP(2022) [paper] [code]
MultiControl: "A Distributional Lens for Multi-Aspect Controllable Text Generation". EMNLP(2022) [paper] [code]
NADO: "Controllable Text Generation with Neurally-Decomposed Oracle". NeurIPS(2022) [paper] [code]
Mix-Match: "Mix and Match: Learning-free Controllable Text Generation using Energy Language Models". ACL(2022) [paper] [code]
ControlPrefix: "Controllable Natural Language Generation with Contrastive Prefixes". ACL-Findings(2022) [paper]
MUCOCO: "Controlled Text Generation as Continuous Optimization with Multiple Constraints". NeurIPS(2021) [paper] [code]
DExperts: "DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts". ACL(2021) [paper] [code]
FUDGE: "FUDGE: Controlled Text Generation With Future Discriminators". NAACL(2021) [paper] [code]
GeDi: "GeDi: Generative Discriminator Guided Sequence Generation". EMNLP-Findings(2021) [paper] [code]
GDC: "A Distributional Approach to Controlled Text Generation". ICLR(2021) [paper] [code] ⭐⭐⭐
CoCon: "CoCon: A Self-Supervised Approach for Controlled Text Generation". ICLR(2021) [paper] [code]
PPLM: "Plug and Play Language Models: A Simple Approach to Controlled Text Generation". ICLR(2020) [paper] [code] ⭐⭐⭐
CTRL: "CTRL: A Conditional Transformer Language Model for Controllable Generation". arXiv(2019) [paper] [code]

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Text Planning

CoScript: "Distilling Script Knowledge from Large Language Models for Constrained Language Planning". ACL(2023) [paper] [code]
RSTGen: "RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators". NAACL(2022) [paper]
Time Control: "Language Modeling via Stochastic Processes". ICLR(2022) [paper] [code] ⭐⭐⭐⭐⭐
PLANET: "PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation". ACL(2022) [paper]
EventPlan: "Event Transition Planning for Open-ended Text Generation". ACL-Findings(2022) [paper] [code]
CETP: "Knowledge-based Review Generation by Coherence Enhanced Text Planning". SIGIR(2021) [paper] ⭐⭐⭐
PlanGen: "Plan-then-Generate: Controlled Data-to-Text Generation via Planning". EMNLP-Findings(2021) [paper] [code]
DYPLOC: "DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation". ACL(2021) [paper] [code]
Tree-PLAN: "Infobox-to-text Generation with Tree-like Planning based Attention Network". IJCAI(2020) [paper]
ProphetNet: "ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training". EMNLP-Findings(2020) [paper] [code] ⭐⭐⭐
PAIR: "PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation". EMNLP(2020) [paper] [code]
SentPlan: "Sentence-Level Content Planning and Style Specification for Neural Text Generation". EMNLP(2019) [paper] [code]
PHVM: "Long and Diverse Text Generation with Planning-based Hierarchical Variational Model". EMNLP(2019) [paper] [code]
TwinNet: "Twin Networks: Matching the Future for Sequence Generation". ICLR(2018) [paper] [code]
PAG: "Plan, Attend, Generate: Planning for Sequence-to-Sequence Models". NIPS(2017) [paper]

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Decoding Algorithms

Speculative Decoding: "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation". EMNLP-Findings(2023) [paper] [code] ⭐⭐⭐
Medusa: "Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads". Github(2023) [Blog] [code]
Lookahead Decoding: "Breaking the Sequential Dependency of LLM Inference Using Lookahead Decoding". LMSYS Org(2023) [Blog] [code] ⭐⭐⭐
Speculative Sampling: "Accelerating Large Language Model Decoding with Speculative Sampling". arXiv(2023) [paper]
Speculative Decoding: "Fast Inference from Transformers via Speculative Decoding". ICML(2023) [paper] [code]
Parallel Decoding: "Accelerating Transformer Inference for Translation via Parallel Decoding". ACL(2023) [paper] [code]
EAD: "The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation". arXiv(2023) [paper] [code]
Contrastive Search: "Contrastive Search Is What You Need For Neural Text Generation". TMLR(2023) [paper] [code] [blog] ⭐⭐⭐
Momentum Decoding: "Momentum Decoding: Open-ended Text Generation As Graph Exploration". arXiv(2022) [paper] [code]
Crowd Sampling: "Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding". arXiv(2022) [paper] [code]
RankGen: "RankGen: Improving Text Generation with Large Ranking Models". EMNLP(2022) [paper] [code]
Contrastive Decoding: "Contrastive Decoding: Open-ended Text Generation as Optimization". arXiv(2022) [paper] [code]
COLD: "COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics". NeurIPS(2022) [paper] [code] ⭐⭐⭐
Lattice: "Massive-scale Decoding for Text Generation using Lattices". NAACL(2022) [paper] [code]
KID: "Knowledge Infused Decoding". ICLR(2022) [paper] [code]
NeuroLogic A*esque: "NeuroLogic A *esque Decoding: Constrained Text Generation with Lookahead Heuristics". NAACL(2022) [paper] [code]
NeuroLogic: "NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints". NAACL(2021) [paper] [code]
DeLorean: "Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning". EMNLP(2020) [paper] [code]
Top-p (Nucleus) Sampling: "The Curious Case of Neural Text Degeneration". ICLR(2020) [paper] [code] ⭐⭐⭐
BP Decoding: "Blockwise Parallel Decoding for Deep Autoregressive Models". NIPS(2018) [paper]
Disjunctive Constraints: "Guided Generation of Cause and Effect". IJCAI(2020) [paper] [code-huggingface]
CGMH: "CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling". AAAI(2019) [paper] [code]
DBS: "Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation". arXiv(2020) [paper] [code]
DBA: "Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation". NAACL(2018) [paper] [code-official] [code-fairseq]
GBS: "Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search". ACL(2017) [paper] [code]

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NLG Evaluation

Survey: "Leveraging Large Language Models for NLG Evaluation: A Survey". arXiv(2024) [paper]
BBScore: "BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence". AAAI(2024) [paper]
GPTEval: "GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment". arXiv(2023) [paper]
GPTScore: "GPTScore: Evaluate as You Desire". arXiv(2023) [paper] [code]
RoMe: "RoMe: A Robust Metric for Evaluating Natural Language Generation". ACL(2022) [paper] [code]
EAD: "Rethinking and Refining the Distinct Metric". ACL(2022) [paper] [code]
MID: "Mutual Information Divergence: A Unified Metric for Multimodal Generative Models". NeurIPS(2022) [paper]
DiscoScore: "DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence". arXiv(2022) [paper] [code]
CTC-Score: "Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation". EMNLP(2021) [paper] [code]
BLEURT: "BLEURT: Learning Robust Metrics for Text Generation". ACL(2020) [paper] [code]

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iwangjian / paper-reading-convai Goto Github PK

paper-reading-convai's Introduction

Paper-Reading-ConvAI

Deep Learning in NLP

Dialogue Systems

Survey on Dialogue

Conversational LLMs

Multimodal Dialogue

Situated and Embodied Dialogue

Visually-grounded Dialogue

Proactive Dialogue

Misc. of Proactive Dialogue

Target-oriented Dialogue

Non-collaborative Dialogue (Persuasion and Negotiation)

Personalized Dialogue

Character-based Dialogue

Personality-aware Dialogue

Persona-based Dialogue

Emotional Dialogue

Emotional Support Dialogue

Empathetic Dialogue

Recommendation Dialogue and CRS

Knowledge-grounded Dialogue

Task-oriented Dialogue

Open-domain Dialogue

Long-term Dialogue

Response Generation

Dialogue Evaluation

Dialogue Misc.

Natural Language Generation

Survey on NLG

NLG Theories and Techniques

Diffusion Models for NLG

Controllable Generation

Text Planning

Decoding Algorithms

NLG Evaluation

paper-reading-convai's People

Contributors

Stargazers

Watchers

Forkers

paper-reading-convai's Issues

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