VITA-MLLM/Woodpecker
✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models
[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"
$ git clone https://github.com/BillChan226/HALC.git✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
[NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
Dataset and evaluation code for measuring hallucinations in Chinese large language models
Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.
Data from GitHub · snapshot Nov 13, 2026