voidism/Lookback-Lens
Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
$ git clone https://github.com/voidism/DoLa.gitCode for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models
Dataset and evaluation code for measuring hallucinations in Chinese large language models
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"
Data from GitHub · snapshot Nov 13, 2026