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  • UCAS | TongYi Laboratory
  • Beijing,China

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Achievements

Achievement: Starstruckx2Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Shark

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RainBowLuoCS/README.md

Hi I am Run Luo 👋

My PhD Research Objectives for the Coming Years:

Objective 1 (RUN1): Develop a GUI-integrated Multimodal Large Language Model (MLLM) capable of autonomously completing all complex tasks at the operating system level, replacing 90% of routine work through a single RL-optimized MLLM model.

Objective 2 (RUN2): Enable MLLM to achieve L4-level autonomous machine navigation for unmanned systems, demonstrating full-scenario driving capability without human intervention.

Objective 3 (RUN3): Generalize MLLM to embodied intelligent coordination and control, creating a unified super-intelligent model integrating: Spatial perception,Task planning,Motion generation,Feedback execution,Cross-modal understanding

This research roadmap aims to push the boundaries of MLLM capabilities across three critical dimensions of human-machine interaction and autonomous systems.

Anurag's github stats

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  1. DiffusionTrack DiffusionTrack Public

    [AAAI 2024] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noi…

    Python 183 7

  2. DEEM DEEM Public

    (ICLR2025 Spotlight) DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.

    Python 23 2

  3. MMEvol MMEvol Public

    🔥🔥🔥Code for "Empowering Multimodal Large Language Models with Evol-Instruct"

    Jupyter Notebook 13

  4. OpenOmni OpenOmni Public

    OpenOmni: Official implementation of Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Self-Aware Emotional Speech Synthesis

    Python 32 1

  5. VCM VCM Public

    2

  6. RUN1 RUN1 Public

    2