← authors · overview

• How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
  2024 · 230 citations
• Intern-S1: A Scientific Multimodal Foundation Model
  2025 · 5 citations
• MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity
  2024 · 5 citations
• Internvl3.5: Advancing Open-source Multimodal Models In Versatility, Reasoning, And Efficiency
  2025 · 2 citations
• Intern-S1: A Scientific Multimodal Foundation Model
  2025
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
  2025
• ControlLLM: Augment Language Models with Tools by Searching on Graphs
  2023
• OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
  2024
• Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
  2024
• Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
  2024