PAI
Hallucination fixer
Improves the performance of large language models by intervening in their internal workings to reduce hallucinations
[ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
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3 forks
Language: Python
last commit: about 1 month ago Related projects:
| Repository | Description | Stars |
|---|---|---|
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 x-plug/mplug-halowl | Evaluates and mitigates hallucinations in multimodal large language models | 82 |
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 nickjiang2378/vl-interp | This project provides an official PyTorch implementation of a method to interpret and edit vision-language representations to mitigate hallucinations in image captions. | 46 |
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 yuqifan1117/hallucidoctor | This project provides tools and frameworks to mitigate hallucinatory toxicity in visual instruction data, allowing researchers to fine-tune MLLM models on specific datasets. | 41 |
 assafbk/mocha_code | A unified framework and benchmark for detecting and mitigating hallucinations in open-vocabulary image captioning models | 13 |
 bcdnlp/faithscore | Evaluates answers generated by large vision-language models to assess hallucinations | 27 |
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