YiyangZhou / LURELinks
[ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
☆146Updated last year
Alternatives and similar repositories for LURE
Users that are interested in LURE are comparing it to the libraries listed below
Sorting:
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆83Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆88Updated last year
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆207Updated last year
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆74Updated 11 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆85Updated last year
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆78Updated 3 months ago
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU☆47Updated last year
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆50Updated 7 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆75Updated 6 months ago
- This is the first released survey paper on hallucinations of large vision-language models (LVLMs). To keep track of this field and contin…☆70Updated 10 months ago
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources☆129Updated 3 weeks ago
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"☆88Updated 5 months ago
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating☆95Updated last year
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆82Updated 5 months ago
- Official repository for the A-OKVQA dataset☆84Updated last year
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆120Updated last year
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆45Updated 10 months ago
- ☆80Updated 2 months ago
- NegCLIP.☆32Updated 2 years ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆67Updated last year
- 😎 curated list of awesome LMM hallucinations papers, methods & resources.☆149Updated last year
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding☆278Updated 7 months ago
- MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning☆134Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆120Updated 6 months ago
- ☆147Updated 7 months ago
- ☆49Updated last year
- CHAIR metric is a rule-based metric for evaluating object hallucination in caption generation.☆29Updated last year
- VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs☆47Updated 2 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆56Updated 3 months ago
- EMNLP2023 - InfoSeek: A New VQA Benchmark focus on Visual Info-Seeking Questions☆23Updated last year