🧑‍🔬 Xiaozhong Liu

🏛️ Affiliations

🎓Worcester Polytechnic InstituteWorcester · United States2021–2026 · 105 papersEmployment since 2021 · Professor, Computer Science/Data Sciencecurrent🎓Indiana University BloomingtonBloomington · United States2011–2024 · 117 papersEmployment 2011–2017 · Assistant Professor, School of Informatics, Computing and EngineeringEmployment since 2017 · Associate Professor, School of Informatics, Computing and Engineering🎓Indiana UniversityBloomington · United States2011–2023 · 61 papers🎓Syracuse UniversitySyracuse · United States2005–2011 · 15 papersEducation 2005–2011 · PhD in Information Science and Technology, iSchool🏢Alibaba GroupHangzhou · China2018–2023 · 12 papers🎓University of California, DavisDavis · United States2026 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation (2026 · 3 citations)
   LeCoDe addresses the difficulty of evaluating LLMs as legal consultants. Real consultations involve users with little legal knowledge who give vague, incomplete descriptions, so a competent expert must ask targeted follow-up questions before giving advice. Prior resources are mostly single-turn QA pairs or…
2. Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition (2026)
   The paper addresses a dilemma in using LLMs for sensitive work. Cloud-hosted models such as GPT-5 give strong answers, but sending them raw queries can reveal confidential research or legal intent. Purely local models keep data private but answer less well. The authors propose GTKA, a client-side, semantic-level…
3. From Individual Excellence to Collective Sustainability: Seeking Strategic Equilibrium in Proactive Multi-Agent Teams (2026)
   The paper addresses a weakness of proactive LLM agents that coordinate heterogeneous research teams. When they optimize only for immediate task accuracy, they keep sending work to the strongest member, typically the PI, while junior researchers stay idle. The authors call this the Individual-centric Trap. Their…
4. PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering (2026)
   Biomedical question answering needs answers that are both correct and supported by current, checkable literature.
5. “Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations (2026)
   Most LLM assistants for science are reactive: they speak only when asked. In a live research meeting, that means useful remarks may never be made. This paper presents CoLabScience, an assistant that follows biomedical team discussions as they unfold and decides on its own when to contribute and what to say.

All works

12 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. De-Biased Court's View Generation with Causality ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYiquan Wu et al.2020 · 117 citations
2. Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetYiquan Wu et al.2023 · 104 citations
3. Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting ↗arXiv:2107.05192 · no summary yetLuyao Ma et al.2021 · 56 citations
4. Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetWeikang Yuan et al.2024 · 28 citations
5. Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetYang Wu et al.2024 · 18 citations
6. Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetRujing Yao et al.2025 · 17 citations
7. Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering ↗arXiv:2502.07904 · no summary yetRujing Yao et al.2025 · 10 citations
8. LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Weikang Yuan, Kaisong Song, Zhuoren Jiang, et al.2026 · 3 citations
9. Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge AcquisitionFindings of the Association for Computational LinguisticsRujing Yao, Yufei Shi, Yang Wu, et al.2026
10. From Individual Excellence to Collective Sustainability: Seeking Strategic Equilibrium in Proactive Multi-Agent TeamsFindings of the Association for Computational LinguisticsTong Zhang, Yang Wu, Yufei Shi, et al.2026
11. PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yiqing Zhang, Xiaozhong Liu, Fabricio Murai2026
12. “Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert CollaborationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Wu, Jinhong Yu, Jingwei Xiong, et al.2026

🤝 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

• Yang Wu ×3
• Zhuoren Jiang ×3
• Rujing Yao ×2
• Yufei Shi ×2
• Ang Li
• Haixu Tang
• Ji Zhang
• Jingwei Xiong
• Junjie Cao
• Kaisong Song
• Kun Kuang
• Tong Zhang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026 ×3
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2
• Findings of the Association for Computational Linguistics: ACL 2024
• Findings of the Association for Computational Linguistics: EMNLP 2024
• Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 152 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated 2 November 2026

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