X-PLUG / mPLUG-HalOwlLinks
mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating
β96Updated last year
Alternatives and similar repositories for mPLUG-HalOwl
Users that are interested in mPLUG-HalOwl are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Modelsβ150Updated last year
- π curated list of awesome LMM hallucinations papers, methods & resources.β149Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimizationβ91Updated last year
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''β222Updated 3 weeks ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)β55Updated 10 months ago
- β100Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''β93Updated 3 weeks ago
- A RLHF Infrastructure for Vision-Language Modelsβ183Updated 10 months ago
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"β96Updated 9 months ago
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluationβ129Updated last year
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.β80Updated 10 months ago
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visualβ¦β82Updated 6 months ago
- β61Updated last year
- [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuningβ286Updated last year
- [CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(β¦β297Updated 10 months ago
- MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)β43Updated 2 months ago
- MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuningβ135Updated 2 years ago
- This is the first released survey paper on hallucinations of large vision-language models (LVLMs). To keep track of this field and continβ¦β77Updated last year
- β82Updated last year
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKUβ49Updated 2 months ago
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decodingβ313Updated 11 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)β48Updated last year
- [EMNLP 2024 Findings] The official PyTorch implementation of EchoSight: Advancing Visual-Language Models with Wiki Knowledge.β73Updated 2 months ago
- β25Updated 2 months ago
- VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Modelsβ73Updated last year
- 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¦β114Updated 2 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigationβ103Updated this week
- [CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Alloβ¦β366Updated last year
- A collection of visual instruction tuning datasets.β76Updated last year
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resourcesβ166Updated last month