Alternatives and similar repositories for MME-Reasoning

Users that are interested in MME-Reasoning are comparing it to the libraries listed below

• MikeWangWZHL / PAPO
  Official repo for "PAPO: Perception-Aware Policy Optimization for Multimodal Reasoning"
  ☆108Updated 3 weeks ago
• hasanar1f / HiRED
  [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…
  ☆43Updated 8 months ago
• kxfan2002 / SophiaVL-R1
  SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward
  ☆88Updated 4 months ago
• NUS-TRAIL / NoisyRollout
  [NeurIPS 2025] NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
  ☆102Updated 3 months ago
• OpenGVLab / MMIU
  [ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
  ☆92Updated last year
• RifleZhang / LLaVA-Reasoner-DPO
  ☆107Updated 11 months ago
• Haochen-Wang409 / TreeVGR
  Official implementation of "Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology"
  ☆72Updated last month
• Dongping-Chen / ISG
  (ICLR 2025 Spotlight) Official code repository for Interleaved Scene Graph.
  ☆31Updated 4 months ago
• thunlp / DeepPerception
  DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
  ☆65Updated 6 months ago
• Liuziyu77 / MIA-DPO
  Official implement of MIA-DPO
  ☆69Updated 11 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆83Updated 2 months ago
• waltonfuture / MM-UPT
  [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
  ☆71Updated last month
• shiqichen17 / VLM_Merging
  Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)
  ☆86Updated 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?
  ☆150Updated 2 months ago
• LaVi-Lab / AIM
  [ICCV 2025] Official code for "AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning"
  ☆48Updated 2 months ago
• si0wang / VisVM
  ☆46Updated 11 months ago
• zjuruizhechen / Awesome-Video-Agent
  A collection of awesome think with videos papers.
  ☆74Updated 3 weeks ago
• longvideobench / LongVideoBench
  [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.
  ☆112Updated last year
• zhishuifeiqian / VCR-Bench
  VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
  ☆33Updated 5 months ago
• EvolvingLMMs-Lab / OpenMMReasoner
  Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
  ☆129Updated last week
• TIGER-AI-Lab / VL-Rethinker
  The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning" [NeurIPS25]
  ☆170Updated 6 months ago
• DAMO-NLP-SG / CMM
  ✨✨The Curse of Multi-Modalities (CMM): Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
  ☆51Updated 5 months ago
• OpenGVLab / V2PE
  [ArXiv] V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
  ☆57Updated last year
• yuecao0119 / MMInstruct
  [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…
  ☆61Updated last year
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆83Updated last year
• Mr-Loevan / FAST
  [NeurIPS 2025 Spotlight] Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
  ☆23Updated this week
• yhy-2000 / VideoDeepResearch
  ☆129Updated last month
• UCSC-VLAA / VLAA-Thinking
  [TMLR 25] SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
  ☆145Updated 2 months ago
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆99Updated last year
• yaolinli / DeCo
  Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models
  ☆75Updated 5 months ago