bronyayang / Law_of_Vision_Representation_in_MLLMsLinks
[COLM'25] Official implementation of the Law of Vision Representation in MLLMs
☆170Updated last month
Alternatives and similar repositories for Law_of_Vision_Representation_in_MLLMs
Users that are interested in Law_of_Vision_Representation_in_MLLMs are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"☆200Updated last year
- [TMLR] Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"☆147Updated last year
- [CVPR'2025] VoCo-LLaMA: This repo is the official implementation of "VoCo-LLaMA: Towards Vision Compression with Large Language Models".☆195Updated 5 months ago
- 【NeurIPS 2024】Dense Connector for MLLMs☆180Updated last year
- DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception☆158Updated 11 months ago
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆156Updated 2 months ago
- EVE Series: Encoder-Free Vision-Language Models from BAAI☆361Updated 4 months ago
- [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.☆111Updated last year
- ☆102Updated 10 months ago
- ☆81Updated last year
- The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning" [NeurIPS25]☆166Updated 6 months ago
- [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI☆115Updated last year
- ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback☆76Updated last year
- This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…☆150Updated 2 months ago
- ☆155Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆98Updated last year
- Official code for Paper "Mantis: Multi-Image Instruction Tuning" [TMLR 2024]☆234Updated 8 months ago
- ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?☆146Updated last month
- [ICLR2025] Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want☆91Updated this week
- ☆123Updated last year
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆60Updated last year
- ☆140Updated last year
- ✨✨Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models☆163Updated 11 months ago
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆168Updated last year
- [ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models☆90Updated last year
- [CVPR2025 Highlight] Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models☆229Updated 3 weeks ago
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆58Updated last year
- A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!☆135Updated last year
- Code for "AVG-LLaVA: A Multimodal Large Model with Adaptive Visual Granularity"☆33Updated last year
- [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …☆125Updated 8 months ago