AoiDragon / POPE
[EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
☆82Updated last year
Alternatives and similar repositories for POPE:
Users that are interested in POPE are comparing it to the libraries listed below
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆146Updated 11 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆86Updated last year
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆205Updated last year
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆45Updated 9 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆71Updated 10 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆72Updated 5 months ago
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆117Updated last year
- ☆145Updated 5 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆46Updated 5 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆82Updated 11 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆78Updated 2 months ago
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating☆94Updated last year
- ☆25Updated 11 months ago
- ☆73Updated 3 months ago
- VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models☆53Updated 9 months ago
- Official implement of MIA-DPO☆55Updated 3 months ago
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"☆86Updated 4 months ago
- HallE-Control: Controlling Object Hallucination in LMMs☆30Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆114Updated 5 months ago
- VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs☆47Updated last month
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆65Updated 10 months ago
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"☆54Updated 8 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆58Updated 4 months ago
- ☆98Updated last year
- [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.☆95Updated 8 months ago
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding☆267Updated 6 months ago
- 😎 curated list of awesome LMM hallucinations papers, methods & resources.☆150Updated last year
- [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …☆111Updated 3 weeks ago
- A collection of visual instruction tuning datasets.☆76Updated last year
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources☆120Updated 2 weeks ago