junyangwang0410 / AMBERLinks
An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation
☆140Updated last year
Alternatives and similar repositories for AMBER
Users that are interested in AMBER are comparing it to the libraries listed below
Sorting:
- [CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(…☆305Updated last week
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆95Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆93Updated 2 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆54Updated 11 months ago
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆225Updated 2 months ago
- A RLHF Infrastructure for Vision-Language Models☆184Updated 11 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆82Updated 11 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆149Updated last year
- 😎 curated list of awesome LMM hallucinations papers, methods & resources.☆150Updated last year
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 8 months ago
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆86Updated 8 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"☆100Updated 10 months ago
- [NeurIPS 2025] NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation☆93Updated last month
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆88Updated 4 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆118Updated last month
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources☆199Updated 3 weeks ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated last year
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating☆98Updated last year
- ☆84Updated last year
- SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models☆136Updated 2 weeks ago
- [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning☆287Updated last year
- ☆95Updated 9 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- ☆100Updated last year
- MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria☆71Updated last year
- A Survey on Benchmarks of Multimodal Large Language Models☆143Updated 3 months ago
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding☆328Updated last year
- ☆104Updated 7 months ago
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆147Updated 11 months ago