Topic: hallucinations Goto Github
Some thing interesting about hallucinations
Some thing interesting about hallucinations
hallucinations,This is the repository for the paper "DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models"
User: 141forever
hallucinations,This repo aims to remove/minimize hallucination introduced through large language models in development of KG
User: aryand1
hallucinations,[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"
User: billchan226
Home Page: https://billchan226.github.io/HALC
hallucinations,✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.
User: bradyfu
hallucinations,The purpose of this application is to test LLM-generated interpretations of medical observations. The explanations are generated fully automatically by a large language model. This application should be used for experimental purposes only. It does not provide support for real world cases and does not replace advice from medical professionals.
User: bsenst
Home Page: https://experimental-clinical-support.streamlit.app/
hallucinations,The implementation for EMNLP 2023 paper ”Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators“
User: chanliang
Home Page: https://arxiv.org/abs/2310.07289
hallucinations,Codes related to the paper "On hallucinations in tomographic imaging"
Organization: comp-imaging-sci
Home Page: https://arxiv.org/abs/2012.00646
hallucinations,Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.
User: dicklesworthstone
hallucinations,List of papers on hallucination detection in LLMs.
Organization: edinburghnlp
hallucinations,Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"
User: hongbinye
hallucinations,[ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA
Organization: iaar-shanghai
Home Page: https://aclanthology.org/2024.acl-long.288/
hallucinations,The full pipeline of creating UHGEval hallucination dataset
Organization: iaar-shanghai
hallucinations,Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"
Organization: ictnlp
Home Page: https://ictnlp.github.io/TruthX-site/
hallucinations,DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
Organization: intuit-ai-research
hallucinations,Official repo for SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
Organization: intuit
Home Page: https://arxiv.org/abs/2311.01740
hallucinations,Code for Controlling Hallucinations at Word Level in Data-to-Text Generation (C. Rebuffel, M. Roberti, L. Soulier, G. Scoutheeten, R. Cancelliere, P. Gallinari)
User: kaijuml
Home Page: https://arxiv.org/abs/2102.02810
hallucinations,Code for PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; INLG 2020)
User: kaijuml
hallucinations,A curated list of trustworthy deep learning papers. Daily updating...
User: minghuichen43
hallucinations,Hierarchical Gaussian Filter (HGF) model of conditioned hallucinations task (Powers et al 2017)
Organization: modeldbrepository
Home Page: https://modeldb.science/229278
hallucinations,A PyTorch implementation of the paper Thinking Hallucination for Video Captioning.
User: nasib-ullah
hallucinations,An Easy-to-use Hallucination Detection Framework for LLMs.
Organization: openkg-org
Home Page: https://openkg-org.github.io/EasyDetect/
hallucinations,Attack to induce LLMs within hallucinations
Organization: pku-yuangroup
Home Page: http://arxiv.org/abs/2310.01469
hallucinations,Antibodies for LLMs hallucinations (grouping LLM as a judge, NLI, reward models)
User: rafaelsandroni
hallucinations,Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.
Organization: rungalileo
Home Page: https://www.rungalileo.io/hallucinationindex
hallucinations,Build accurate and secure AI applications to unlock value faster
Organization: safeguards-ai
Home Page: http://docs.withsafeguards.com
hallucinations,[TruthGPT](https://github.com/SingularityLabs-ai/TruthGPT-mini) for google
Organization: singularitylabs-ai
Home Page: https://chromewebstore.google.com/detail/truthgpt-for-google/ajhembhhlmibhipcdpjnjmkkjnbjclpc
hallucinations,Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
Organization: vectara
Home Page: https://vectara.com
hallucinations,Hallucinate - GPT - LLM - AI Chat - OpenAI - Sam Altman info
Organization: versemetaverse
hallucinations,Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
User: voidism
Home Page: https://arxiv.org/abs/2309.03883
hallucinations,Official implementation for the paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
User: voidism
Home Page: https://arxiv.org/abs/2407.07071
hallucinations,Code for "The Curious Case of Hallucinations in Neural Machine Translation".
User: vyraun
hallucinations,mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating
Organization: x-plug
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