Short Bio
I am a senior research scientist in Google DeepMind, working on large language model (LLM). I completed my Ph.D. at University of Illinois, Urbana-Champaign (UIUC), advised by Prof. Jiawei Han.
What's new!
Oct. 2024 - One paper about Multilingual Fine-grained News Headline Hallucination Detection is accepted in EMNLP 2024 (Finding).
May 2024 - Two papers about (1) Explanation-enhanced LLM In-context Learning, and (2) Text Preference Prediction are accepted in ACL 2024 (Main).
May 2024 - One paper on LLM Distillation is accepted in ACL 2024 (Findings).
May 2024 - One paper on Knowledge Distillation with Perturbed Loss is accepted in KDD 2024.
May 2024 - One paper on LLM-based Text Ranker is accepted in NAACL 2024.
Sept. 2023 - One paper on LLM-based Attributed Training Data Generation is accepted in NeurIPS 2023 Dataset and Benchmark Track.
June 2023 - One paper on Corpus-Based Relation Extraction is accepted in ECMLPKDD 2023.
May 2023 - Two papers about (1) local boosting for weakly supervised learning, and (2) unbiased learning to rank are accepted in KDD 2023.
Apr. 2023 - Three papers about LLMs are accepted in ACL 2023.
Area of InterestsMy primary areas of interests in research include:
I have also worked on:
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