Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
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Updated
Apr 24, 2024 - Python
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
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Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.
Attack to induce LLMs within hallucinations
Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"
Official implementation for the paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
Codes related to the paper "On hallucinations in tomographic imaging"
An Easy-to-use Hallucination Detection Framework for LLMs.
mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
Code for Controlling Hallucinations at Word Level in Data-to-Text Generation (C. Rebuffel, M. Roberti, L. Soulier, G. Scoutheeten, R. Cancelliere, P. Gallinari)
Code for PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; INLG 2020)
[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"
The implementation for EMNLP 2023 paper ”Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators“
A PyTorch implementation of the paper Thinking Hallucination for Video Captioning.
The full pipeline of creating UHGEval hallucination dataset
Antibodies for LLMs hallucinations (grouping LLM as a judge, NLI, reward models)
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