umd-huang-lab / SIMA
☆8Updated 9 months ago
Alternatives and similar repositories for SIMA:
Users that are interested in SIMA are comparing it to the libraries listed below
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆70Updated 9 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆69Updated 4 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆44Updated 5 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆41Updated 3 months ago
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆20Updated 2 months ago
- CLIP-MoE: Mixture of Experts for CLIP☆29Updated 5 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆27Updated 4 months ago
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU☆47Updated last year
- ☆31Updated 8 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆76Updated last month
- [ICLR 2025] See What You Are Told: Visual Attention Sink in Large Multimodal Models☆13Updated last month
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆38Updated 3 months ago
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆82Updated last year
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆33Updated last year
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆65Updated 9 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆44Updated 8 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆48Updated last month
- ☆19Updated last month
- A Self-Training Framework for Vision-Language Reasoning☆71Updated 2 months ago
- Official code for "AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning"☆21Updated this week
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆81Updated 10 months ago
- ☆64Updated 9 months ago
- Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal …☆46Updated last month
- ☆24Updated 10 months ago
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆27Updated 8 months ago
- Preference Learning for LLaVA☆41Updated 4 months ago
- Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)☆15Updated 11 months ago
- PyTorch Implementation of "Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Larg…☆21Updated last month
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆27Updated 9 months ago
- [CVPR 2025] VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning☆10Updated 3 weeks ago