- 🔭 Hello! I am a Researcher working on Agentic RL and foundation models.
- My research focuses on developing trustworthy intelligent agents that can effectively interact with real-world environments.
- I am the creator of WizardCoder and have worked on VideoLLaMA2, ScreenSpot-Pro, MCP-Universe, and StateAct (SFR-CUA).
- Previously, I worked at Salesforce, Microsoft, and Alibaba.
- See my HomePage or Google Scholar for more about me and my research.
- 📫 Email: chiyeunglaw1@gmail.com
💻
Focusing
Working on Agentic RL | Ex-Salesforce, Microsoft & Alibaba | Creator of WizardCoder | Optimizing for Long-Term Reward | Ziyang Luo in Pinyin
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nlpxucan/WizardLM
nlpxucan/WizardLM PublicLLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
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SalesforceAIResearch/MCP-Universe
SalesforceAIResearch/MCP-Universe PublicMCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.
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LexLIP-ICCV23
LexLIP-ICCV23 PublicOfficial Code for the ICCV23 Paper: "LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval"
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VideoAutoArena/VideoAutoBench
VideoAutoArena/VideoAutoBench Public[CVPR 2025] Official Dataloader and Evaluation Scripts for VideoAutoBench.
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VideoAutoArena/VideoAutoArena
VideoAutoArena/VideoAutoArena Public[CVPR 2025] Official Dataloader and Evaluation Scripts for VideoAutoArena.
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