Maxlinn / CHAIR-metric-standalone
CHAIR metric is a rule-based metric for evaluating object hallucination in caption generation.
β26Updated last year
Alternatives and similar repositories for CHAIR-metric-standalone:
Users that are interested in CHAIR-metric-standalone are comparing it to the libraries listed below
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"β77Updated last month
- π curated list of awesome LMM hallucinations papers, methods & resources.β146Updated 9 months ago
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''β193Updated 9 months ago
- M-HalDetect Dataset Releaseβ20Updated last year
- This is the first released survey paper on hallucinations of large vision-language models (LVLMs). To keep track of this field and continβ¦β57Updated 5 months ago
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigatingβ87Updated 11 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.β55Updated 2 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Modelsβ139Updated 8 months ago
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resourcesβ71Updated last week
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding stratβ¦β76Updated 9 months ago
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''β77Updated 9 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimizationβ77Updated 11 months ago
- MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)β33Updated 9 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)β40Updated 2 months ago
- HallE-Control: Controlling Object Hallucination in LMMsβ28Updated 9 months ago
- Papers about Hallucination in Multi-Modal Large Language Models (MLLMs)β75Updated last month
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decodingβ229Updated 3 months ago
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKUβ44Updated last year
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Modelsβ60Updated 7 months ago
- β55Updated 6 months ago
- This repository contains the code for SFT, RLHF, and DPO, designed for vision-based LLMs, including the LLaVA models and the LLaMA-3.2-viβ¦β96Updated 3 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)β43Updated 6 months ago
- β25Updated 6 months ago
- β57Updated 7 months ago
- β94Updated last year
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"β51Updated 4 months ago
- β40Updated last month
- A RLHF Infrastructure for Vision-Language Modelsβ145Updated 2 months ago
- PyTorch Implementation of "Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Largβ¦β19Updated last month
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMsβ90Updated 2 months ago