HaELM
Hallucination detector
A framework for detecting hallucinations in large language models
An automatic MLLM hallucination detection framework
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Language: Python
last commit: about 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 openkg-org/easydetect | A framework to detect and mitigate hallucinations in multimodal large language models | 48 |
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 amazon-science/refchecker | Automates fine-grained hallucination detection in large language model outputs | 304 |
| junyangwang0410/amber | An LLM-free benchmark suite for evaluating MLLMs' hallucination capabilities in various tasks and dimensions | 93 |
 x-plug/mplug-halowl | Evaluates and mitigates hallucinations in multimodal large language models | 79 |
 1zhou-wang/memvr | An implementation of a method to mitigate hallucinations in large language models using visual re-tracing | 27 |
 bradyfu/woodpecker | A method to correct hallucinations in multimodal large language models during text generation | 611 |
 billchan226/halc | An implementation of an object hallucination reduction method using a PyTorch framework and various decoding algorithms. | 69 |
 assafbk/mocha_code | A unified framework and benchmark for detecting and mitigating hallucinations in open-vocabulary image captioning models | 12 |
 rucaibox/pope | An evaluation framework for detecting object hallucinations in vision-language models | 179 |
 chanyn/hkrm | Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 104 |
 bcdnlp/faithscore | Evaluates answers generated by large vision-language models to assess hallucinations | 25 |
 damo-nlp-sg/vcd | An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs | 209 |
 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 |
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