Long T. Le
Long T. Le is a Staff Research Engineer in Google Cloud AI Research with the mission to bring advance AI to the world. He's currently focusing in new LLM solution like distillation, RAG, Agent. Before that, he worked on a new deep learning method for tabular data, covid-19 forecasting and recommendation AI. Before joining Google, he was a machine learning engineer in Capital One in NYC. At Capital One, he developed different models in loan optimization and first-party fraud detection. He earned his Ph.D. in computer science from Rutgers University. Before that, he earned a bachelor in computing from National University at Singapore.
Authored Publications
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Google
CodecLM: Aligning Language Models with Tailored Synthetic Data
Chun-Liang Li
Jin Miao
NAACL 2024
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization
Cheng-Yu Hsieh
Yung-Sung Chuang
Chun-Liang Li
Abhishek Kumar
James Glass
Alexander Ratner
Ranjay Krishna
2024
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
Joel Shor
Arkady Epshteyn
Ashwin Sura Ravi
Beth Luan
Chun-Liang Li
Daisuke Yoneoka
Dario Sava
Hiroaki Miyata
Hiroki Kayama
Isaac Jones
Joe Mckenna
Johan Euphrosine
Kris Popendorf
Nate Yoder
Shashank Singh
Shuhei Nomura
Thomas Tsai
npj Digital Medicine (2021)
Interpretable Sequence Learning for Covid-19 Forecasting
Chun-Liang Li
Arkady Epshteyn
Shashank Singh
Martin Nikoltchev
Yash Kumar Sonthalia
NeurIPS (2020)
