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Xiao Liu (刘潇)
Email: liuxiao [AT] uchicago [DOT] edu / lxlisa [AT] pku [DOT] edu [DOT] cn
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I am a postdoctoral scholar at Data Science Institute, University of Chicago, working with Prof. Chenhao Tan and Prof. James Evans. I obtained my Ph.D. degree in Wangxuan Institute of Computer Technology, Peking University, advised by Prof. Yansong Feng in 2025. I was a visiting Ph.D. student at University of California, Los Angeles, working with Prof. Kai-Wei Chang in 2023. I received the BSc degree from School of Electronic Engineering and Computer Science, Peking University and BEc degree from National School of Development in 2020.
[Google Scholar] [Github] [X]
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I am deeply engaged in advancing the complex reasoning abilities of language models, aiming to help humans with real-world challenges. My current research focuses on causal reasoning with LLMs and AI for Innovation.
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RefTool: Enhancing Model Reasoning with Reference-Guided Tool Creation
ICLR 2026
Xiao Liu, Da Yin, Zirui Wu, Yansong Feng
Tool, Quantitative Reasoning, Causal Reasoning
[paper] [code]
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From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions
AAAI 2026 (Oral)
Jiayi Li*, Xiao Liu*, Yansong Feng
Multi-agent, LLM for Social Good
[paper] [code]
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Improving Research Idea Generation Through Data: An Empirical Investigation in Social Science
AI4Science Workshop at Neurips 2025 (Spotlight)
Xiao Liu, Xinyi Dong, Xinyang Gao, Yansong Feng, Xun Pang
AI for Innovation, Quantitative Reasoning
[paper]
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Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books
ACL 2025
Chen Zhang*, Jiuheng Lin*, Xiao Liu, Zekai Zhang, Yansong Feng
Reasoning with Code, LLM for Social Good
[paper] [code]
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Eliciting and Improving the Causal Reasoning Abilities of Large Language Models with Conditional Statements
Computational Linguistics 2025, Presented at ACL 2025
Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao
Causal Reasoning, Reasoning with Code
[paper]
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Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
ACL 2024 (Findings), AI4Research workshop @ IJCAI 2024 Highlight Paper
Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng
Quantitative Reasoning, Causal Reasoning
[paper] [code] [website]
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Teaching Large Language Models an Unseen Language on the Fly
ACL 2024 (Findings)
Chen Zhang, Xiao Liu, Jiuheng Lin, Yansong Feng
LLM for Social Good
[paper] [code] [website]
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CASA: Causality-driven Argument Sufficiency Assessment
NAACL 2024
Xiao Liu, Yansong Feng, Kai-Wei Chang
Causal Reasoning
[paper] [code] [website]
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Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
EMNLP 2023
Da Yin*, Xiao Liu*, Fan Yin*, Ming Zhong*, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Instruction Tuning
[paper] [code] [website]
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The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
ACL 2023 (Findings)
Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao
Causal Reasoning, Reasoning with Code
[paper] [code]
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Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
EMNLP 2022
Xiao Liu, Yansong Feng, Jizhi Tang, Chengang Hu, Dongyan Zhao
Causal Reasoning
[paper] [code] [website]
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Things not Written in Text: Exploring Spatial Commonsense from Visual Signals
ACL 2022
Xiao Liu, Da Yin, Yansong Feng, Dongyan Zhao
Spatial Reasoning
[paper] [code]
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Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
NAACL 2021
Xiao Liu*, Da Yin*, Yansong Feng, Yuting Wu, Dongyan Zhao
Causal Reasoning
[paper] [code]
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| Academic Services |
- Area Chair ACL Rolling Review
- Reviewer ACL, EMNLP, NAACL, COLM, ICLR, CSCW, Computational Linguistics, TKDD, TKDE, IPM
- Volunteer ACL 2024, NAACL 2024, EMNLP 2022, ACL 2021, NAACL 2021, EMNLP 2020
- Co-Organizer AI & Scientific Discovery Online Seminar
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| Teaching |
- Mentor Data Science Clinic, University of Chicago, Winter 2026
- Teaching Assistant Foundations of Natural Language Processing, Peking University, Spring 2024
- Teaching Assistant Empirical Methods for Natural Language Processing, Peking University, Spring 2023
- Teaching Assistant Introduction to Computation B, Peking University, Fall 2020
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Selected Awards
- Outstanding Graduate, Peking University, 2025
- Wangxuan Scholarship, Wangxuan Institute of Computer Technology, 2020
- National Scholarship, Peking University, 2018
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