Alternatives and similar repositories for MMStar

Users that are interested in MMStar are comparing it to the libraries listed below

• bronyayang / Law_of_Vision_Representation_in_MLLMs
  Official implementation of the Law of Vision Representation in MLLMs
  ☆163Updated 9 months ago
• dvlab-research / Prompt-Highlighter
  [CVPR 2024] Prompt Highlighter: Interactive Control for Multi-Modal LLMs
  ☆151Updated last year
• Yxxxb / VoCo-LLaMA
  [CVPR'2025] VoCo-LLaMA: This repo is the official implementation of "VoCo-LLaMA: Towards Vision Compression with Large Language Models".
  ☆184Updated 2 months ago
• 42Shawn / LLaVA-PruMerge
  LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
  ☆142Updated last month
• MME-Benchmarks / MME-CoT
  MME-CoT: Benchmarking Chain-of-Thought in LMMs for Reasoning Quality, Robustness, and Efficiency
  ☆126Updated 2 weeks ago
• Cooperx521 / PyramidDrop
  (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
  ☆118Updated 5 months ago
• TideDra / VL-RLHF
  A RLHF Infrastructure for Vision-Language Models
  ☆181Updated 9 months ago
• Liuziyu77 / MMDU
  Official repository of MMDU dataset
  ☆93Updated 10 months ago
• RupertLuo / VoCoT
  VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
  ☆71Updated last year
• OpenGVLab / MM-NIAH
  [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of…
  ☆115Updated 8 months ago
• HJYao00 / DenseConnector
  【NeurIPS 2024】Dense Connector for MLLMs
  ☆172Updated 10 months ago
• OpenGVLab / MMT-Bench
  [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
  ☆113Updated last year
• RifleZhang / LLaVA-Hound-DPO
  ☆152Updated 9 months ago
• open-compass / MMBench
  Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"
  ☆240Updated 3 months ago
• MME-Benchmarks / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆128Updated 5 months ago
• longvideobench / LongVideoBench
  [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.
  ☆105Updated last year
• TIGER-AI-Lab / Mantis
  Official code for Paper "Mantis: Multi-Image Instruction Tuning" [TMLR 2024]
  ☆225Updated 4 months ago
• Yangyi-Chen / SOLO
  [TMLR] Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"
  ☆146Updated 9 months ago
• LALBJ / PAI
  [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
  ☆132Updated 9 months ago
• dongyh20 / Insight-V
  [CVPR2025 Highlight] Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
  ☆217Updated last month
• TIGER-AI-Lab / VL-Rethinker
  The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning"
  ☆139Updated 2 months ago
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆91Updated last year
• baaivision / EVE
  EVE Series: Encoder-Free Vision-Language Models from BAAI
  ☆345Updated 3 weeks ago
• PKU-YuanGroup / Video-Bench
  A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!
  ☆131Updated last year
• foundation-multimodal-models / CAPTURE
  ☆69Updated last year
• RLHF-V / RLHF-V
  [CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
  ☆287Updated 11 months ago
• swordlidev / Evaluation-Multimodal-LLMs-Survey
  A Survey on Benchmarks of Multimodal Large Language Models
  ☆131Updated last month
• NUS-TRAIL / NoisyRollout
  NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
  ☆85Updated last week
• Kwai-YuanQi / MM-RLHF
  The Next Step Forward in Multimodal LLM Alignment
  ☆175Updated 3 months ago
• llyx97 / TempCompass
  [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …
  ☆120Updated 4 months ago