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Zhuoren Jiang

Zhuoren Jiang has 3 papers in our library, in 2026, most of them on Dialogue systems, Evaluation & benchmarks, Legal AI; often with Xiaozhong Liu, Rujing Yao, Yang Wu.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 16 · 106 works · 1,000 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 19 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #12165

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Zhejiang UniversityHangzhou · China2020–2026 · 62 papersEmployment since 2020current🎓Zhejiang Gongshang UniversityHangzhou · China2025–2026 · 3 paperscurrent🎓Nankai UniversityTianjin · China2026 · 1 papercurrent🎓Dalian Maritime UniversityDalian · China2010–2015 · 12 papers🎓Sun Yat-sen UniversityGuangzhou · China2017–2020 · 11 papersEmployment 2017–2020🎓Peking UniversityBeijing · China2015–2018 · 10 papersEmployment 2015–2017

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 workPsychology · 1 workSocial Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 1 workEvaluation & benchmarks · 1 workLegal AI · 1 work

 Works by year

2020s

20263 papers

 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…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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
  3. 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
  4. 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

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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