wenhuang2000 / VHTestLinks
VHTest
☆13Updated 7 months ago
Alternatives and similar repositories for VHTest
Users that are interested in VHTest are comparing it to the libraries listed below
Sorting:
- ☆53Updated 7 months ago
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆21Updated 5 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆45Updated 10 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆30Updated 7 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆74Updated 11 months ago
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆23Updated 7 months ago
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆34Updated 10 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 3 months ago
- Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)☆17Updated last year
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆51Updated last week
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU☆47Updated last year
- [ICLR 2025] PyTorch Implementation of "ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time"☆21Updated 2 weeks ago
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆84Updated last year
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆74Updated 6 months ago
- ☆38Updated last week
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆50Updated 7 months ago
- Less is More: High-value Data Selection for Visual Instruction Tuning☆13Updated 4 months ago
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆57Updated 6 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆86Updated last year
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆73Updated last week
- ☆81Updated 2 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆67Updated last year
- Code and data for ACL 2024 paper on 'Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space'☆15Updated 10 months ago
- ☆22Updated last month
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆146Updated last year
- [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention☆56Updated 5 months ago
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆120Updated last year
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆56Updated 4 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆88Updated last year
- AutoHallusion Codebase (EMNLP 2024)☆19Updated 6 months ago