Alternatives and similar repositories for MMDU:

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

• Liuziyu77 / MIA-DPO
  Official implement of MIA-DPO
  ☆49Updated 3 weeks ago
• thunlp / Muffin
  ☆59Updated last year
• OpenGVLab / MM-NIAH
  [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of…
  ☆109Updated 2 months ago
• BAAI-DCAI / DataOptim
  A collection of visual instruction tuning datasets.
  ☆76Updated 11 months ago
• yfzhang114 / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆92Updated 3 weeks ago
• zwq2018 / Multi-modal-Self-instruct
  The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…
  ☆71Updated 2 weeks ago
• vlf-silkie / VLFeedback
  ☆95Updated last year
• RifleZhang / LLaVA-Hound-DPO
  ☆137Updated 3 months ago
• MMStar-Benchmark / MMStar
  [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
  ☆165Updated 4 months ago
• foundation-multimodal-models / CAL
  [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
  ☆56Updated 4 months ago
• X2FD / LVIS-INSTRUCT4V
  ☆132Updated last year
• RupertLuo / VoCoT
  VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
  ☆45Updated 7 months ago
• yuecao0119 / MMInstruct
  [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…
  ☆44Updated 3 months ago
• joez17 / VideoNIAH
  VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs
  ☆37Updated 3 months ago
• Cooperx521 / PyramidDrop
  The official code of the paper "PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction".
  ☆51Updated last month
• BAAI-DCAI / Visual-Instruction-Tuning
  SVIT: Scaling up Visual Instruction Tuning
  ☆164Updated 7 months ago
• pipilurj / bootstrapped-preference-optimization-BPO
  code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"
  ☆54Updated 5 months ago
• palchenli / VL-Instruction-Tuning
  ☆87Updated last year
• hshjerry / VideoEspresso
  VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
  ☆49Updated last month
• Liuziyu77 / RAR
  The official implementation of RAR
  ☆81Updated 10 months ago
• OpenGVLab / V2PE
  [ArXiv] V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
  ☆28Updated 2 months ago
• RUCAIBox / Virgo
  Official code of *Virgo: A Preliminary Exploration on Reproducing o1-like MLLM*
  ☆86Updated last month
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆78Updated 10 months ago
• HJYao00 / DenseConnector
  【NeurIPS 2024】Dense Connector for MLLMs
  ☆156Updated 4 months ago
• TencentARC / GVT
  Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".
  ☆58Updated last year
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆81Updated last year
• KangarooGroup / Kangaroo
  official impelmentation of Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input
  ☆63Updated 5 months ago