🙋♂️ I build agentic AI at Alibaba. I was the chief scientist at a startup (raised more than 50M$), previously worked at JD Explore Academy and Tencent AI Lab, and held an adjunct researcher position at ZJU.
🔭 Working on the whole pipeline of LLM R&D and their human-centric applications, including efficient and sufficient training, alignment, evaluations, compression, multilinguality, multimodality, agentic application, and much more.
💪 I'm keen on bodybuilding (5 years+), marathon (completed first half marathon (126min) in Beijing-2016 and most recent half marathon (86min) in Sydney-2019😅. will resume training in 2024💪🏻).
🥗 I (once😅) enjoy cooking.
🐈 I like to spend Sundays with my cats (two from 2020-2023, one from 2023).
🎯
hiring @ alibaba https://liamding.cc/hiring.html
NLP researcher, developing agentic AI.
- Shanghai(CN) & Sydney(AU)
- liamding.cc
- @liangdingNLP
- https://scholar.google.com/citations?user=lFCLvOAAAAAJ
- https://huggingface.co/alphadl
Highlights
- Pro
Pinned Loading
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THUNLP-MT/MT-Reading-List
THUNLP-MT/MT-Reading-List PublicA machine translation reading list maintained by Tsinghua Natural Language Processing Group
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lookahead.pytorch
lookahead.pytorch Publiclookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
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darts.pytorch1.1
darts.pytorch1.1 PublicImplementation with latest PyTorch (v1.1) for multi-gpu differentiable architecture search https://arxiv.org/abs/1806.09055
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trajectory_tokenization
trajectory_tokenization PublicTrajectory Tokenization for ReAct: compress older steps into tokens, keep recent steps full—no training, drop-in.
Python 3
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