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Junjie Cao

Junjie Cao has 2 papers in our library, in 2021–2026, most of them on Dialogue systems, Evaluation & benchmarks, Legal AI; often with Ji Zhang, Kaisong Song, Kun Kuang.

2 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 23 · 100 works · 1,812 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 28 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10046

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

🎓Dalian University of TechnologyDalian · China2009–2026 · 74 paperscurrent🏢Alibaba GroupHangzhou · China2019–2026 · 4 paperscurrent🎓Nanchang Hangkong UniversityNanchang · China2014–2017 · 9 papers🎓Peking UniversityBeijing · China2017–2021 · 6 papers🔬State Key Laboratory of Structural Analysis for Industrial EquipmentDalian2011–2012 · 6 papers🎓Shandong University of TechnologyZibo · China2010–2023 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.English · 1 workSemantic parsing & meaning representation · 1 workDialogue systems · 1 workEvaluation & benchmarks · 1 workLegal AI · 1 work

 Works by year

2020s

20261 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing (2021 · 6 citations)
    The paper asks how two families of English Resource Semantics (ERS) parsers differ in the linguistic phenomena they handle well.
  2. 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…

All works

4 works of theirs in our library, the most cited first; 2 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. Semantic Parsing for English as a Second Language ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYuanyuan Zhao et al.2020 · 11 citations
  3. Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic ParsingComputational LinguisticsJunjie Cao, Zi Lin, Weiwei Sun, et al.2021 · 6 citations
  4. 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

 Co-authors here

7 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 28 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

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