Tianshi Zheng 郑天石 Stone

Bibliography

Hello there!
I’m a Ph.D. student in Computer Science at the Hong Kong University of Science and Technology (HKUST) starting from 2024, advised by Prof. Yangqiu Song. I’m also a research intern at NVIDIA AI Technology Center. Prior to that, I obtained two bachelor’s degrees in Computer Science and General Business Management from the Dual Degree Program at the same institution with the highest distinction.

News

May 2025: Our survey paper on Large Language Models in Scientific Discovery has been published, with an awesome github repository: Awesome-LLM-Scientific-Discovery . We welcome community contributions through pull requests!
May 2025: Four research papers accepted to ACL 2025

Research Interests

I am generally interested in Machine Learning and Natural Language Processing.
Specifically, I focus on robust and generalizable hypothesis formulation from observations. It naturally bridges:

Abductive Reasoning: Explanatory Hypothesis Generation (LogiDynamics, AbductiveKGR, Controllable AKGR)
Inductive Reasoning: Learning from Contextual Instances (The Curse of CoT, Robust Rule Induction, Legal Rule Induction)
Deductive Reasoning: Entailment Verification with Uncertainty (FOL-Entailment)

And eventually empowers:

Scientific Discovery: LLM-SD Survey
Multi-Agent Interaction: Multi-Agent Expertise, Multi-Agent Guandan

I’m also generally interested in complex logical reasoning under diverse modalities and scenarios (SQE, CLR-Fact, EduKDQA).

Awards

Hong Kong PhD Fellowship 2024
HKUST RedBird PhD Scholarship 2024
HKUST Academic Achievement Medal (~top 1% graduate)
HKUST Dean's Lists (7 semesters)

Academic Service

Conference Reviewer: ACL Rolling Review (2023, 2024, 2025), EMNLP 2023, KDD 2024, NLPCC 2024, ICLR 2025, COLM 2025