调研与汇总大模型推理
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation 哈工大一篇推理ChatGPT推理能力的文章
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models https://arxiv.org/abs/2305.17077
On the Computational Power of Decoder-Only Transformer Language Models https://arxiv.org/abs/2305.17026 计算能力
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models https://arxiv.org/abs/2305.16876
Playing repeated games with Large Language Models https://arxiv.org/abs/2305.16867 博弈游戏
AdaPlanner: Adaptive Planning from Feedback with Language Models https://arxiv.org/abs/2305.16653 闭环
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning https://arxiv.org/abs/2305.16646
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models https://arxiv.org/abs/2305.16582 COT
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving https://arxiv.org/abs/2305.16366 定理证明
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset https://arxiv.org/abs/2305.16344 解析财务报告
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities https://arxiv.org/abs/2305.16334
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models https://arxiv.org/abs/2305.16986
Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Clashes https://arxiv.org/abs/2305.13300 知识冲突
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model https://arxiv.org/abs/2305.16617 贝叶斯
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies https://arxiv.org/abs/2305.16697
On the Tool Manipulation Capability of Open-source Large Language Models https://arxiv.org/abs/2305.16504
Role-Play with Large Language Models https://arxiv.org/abs/2305.16367
Large Language Models as Tool Makers https://arxiv.org/abs/2305.17126
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases https://arxiv.org/abs/2305.13269
PandaGPT: One Model To Instruction-Follow Them All https://arxiv.org/abs/2305.16355
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text https://arxiv.org/abs/2305.13304
Think Before You Act: Decision Transformers with Internal Working Memory https://arxiv.org/abs/2305.16338
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing https://arxiv.org/abs/2305.16635
Surfacing Biases in Large Language Models using Contrastive Input Decoding
Large Language Models Are Partially Primed in Pronoun Interpretation https://arxiv.org/abs/2305.16917
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks https://arxiv.org/pdf/2305.17100
Can large language models generate salient negative statements? https://arxiv.org/abs/2305.16755
Don't Trust GPT When Your Question Is Not In English https://arxiv.org/abs/2305.16339
How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning https://arxiv.org/abs/2305.13286