- ๐ญ Hello! I am a final-year PhD Candidate in computer science at HKBU. My objective is to develop intelligent agents capable of interacting with both digital and physical environments. To break it down further:
- Foundation Models: Large Foundation Models, Models Alignment, etc.
- Applications: Foundation Models as Agents, Code Intelligence, etc.
- See my HomePage or Google Scholar for more about me and my research.
- ๐ซ Email: cszyluo@comp.hkbu.edu.hk
๐ป
Focusing
CS Ph.D. Candidate at HKBU, Hong Kong.
My research revolves around LLMs/LMMs.
(Ziyang Luo in Pinyin)
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Hong Kong Baptist University
- Hong Kong, China
-
16:20
(UTC +08:00) - https://chiyeunglaw.github.io/
- @ChiYeung_Law
- https://www.zhihu.com/people/Chi-YeungLaw
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nlpxucan/WizardLM
nlpxucan/WizardLM PublicLLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
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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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CodeLLM-Research/CodeJudge-Eval
CodeLLM-Research/CodeJudge-Eval Public[COLING25] CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
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VideoAutoArena/VideoAutoBench
VideoAutoArena/VideoAutoBench PublicOfficial Dataloader and Evaluation Scripts for VideoAutoBench.
Python 8
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VideoAutoArena/VideoAutoArena
VideoAutoArena/VideoAutoArena PublicOfficial Dataloader and Evaluation Scripts for VideoAutoArena.
Python 4
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