LJungang / Awesome-Omni-Large-Models-and-DatasetsLinks
🔥 Omni large models and datasets for understanding and generating multi-modalities.
☆15Updated 8 months ago
Alternatives and similar repositories for Awesome-Omni-Large-Models-and-Datasets
Users that are interested in Awesome-Omni-Large-Models-and-Datasets are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆76Updated last year
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆89Updated 7 months ago
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆75Updated 5 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆54Updated 8 months ago
- NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation☆78Updated last month
- V1: Toward Multimodal Reasoning by Designing Auxiliary Task☆34Updated 3 months ago
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆75Updated last month
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆63Updated last month
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆77Updated 8 months ago
- HallE-Control: Controlling Object Hallucination in LMMs☆31Updated last year
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆31Updated 8 months ago
- Official repository of the video reasoning benchmark MMR-V. Can Your MLLMs "Think with Video"?☆31Updated 3 weeks ago
- ☆18Updated last year
- A curated list of Awesome Personalized Large Multimodal Models resources☆31Updated last month
- [ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality☆34Updated 2 weeks ago
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆65Updated 7 months ago
- Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…☆32Updated last month
- ☆90Updated 3 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆86Updated last year
- [ACM MM 2025] TimeChat-online: 80% Visual Tokens are Naturally Redundant in Streaming Videos☆60Updated this week
- MME-CoT: Benchmarking Chain-of-Thought in LMMs for Reasoning Quality, Robustness, and Efficiency☆117Updated 3 weeks ago
- ☆18Updated 2 months ago
- [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…☆141Updated last week
- (ICLR2025 Spotlight) DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.☆35Updated 2 weeks ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆69Updated last year
- More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models☆30Updated last month
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆78Updated 4 months ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆42Updated 8 months ago
- Official Code and data for ACL 2024 finding, "An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models"☆19Updated 8 months ago
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆79Updated 5 months ago