---
title: "Yueyue Wu — author profile and papers — Elamur Research"
description: "Yueyue Wu, Quan Cheng Laboratory: 4 papers on Elamur Research (2023–2026), h-index 12 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yueyue-wu/"
---
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# Yueyue Wu

Yueyue Wu has 4 papers in our library, in 2023–2026, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Haitao Li](https://md.research.elamur.ai/free/en/authors/haitao-li/), [Qingyao Ai](https://md.research.elamur.ai/free/en/authors/qingyao-ai/), [Yiqun Liu](https://md.research.elamur.ai/free/en/authors/yiqun-liu/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5041525078) · [ORCID](https://orcid.org/0000-0002-2539-8954) · [Wikidata](https://www.wikidata.org/wiki/Q130800962) · [**h-index 12**](https://openalex.org/authors/A5041525078) · [42 works](https://openalex.org/works?filter=author.id:A5041525078) · [484 citations](https://openalex.org/works?filter=author.id:A5041525078&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yueyue-wu/#papers) · [🔗 Cited 368 times in our library](https://md.research.elamur.ai/free/en/authors/yueyue-wu/cited-by/) · [15 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5764](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5764)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yueyue+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yueyue+Wu) · [dblp](https://dblp.org/search?q=Yueyue+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Yueyue+Wu)

## Affiliations

[🎓**Tsinghua University** Beijing · China 2019–2026 · 37 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Quan Cheng Laboratory** Jinan · China 2022–2026 · 6 papers*current*](https://ror.org/03drypn60)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 8 The field of science this work belongs to (OpenAlex fields).[Social Sciences · 4 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Political Science and International Relations · 4 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Law · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/)

🧭 Topics 3 Research subjects and languages the work is about.[Legal AI · 4 works](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yueyue-wu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yueyue-wu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yueyue-wu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yueyue-wu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval](https://md.research.elamur.ai/free/en/papers/li-2023-sailer-structure-aware-pre-trained/)** *(2023 · 134 citations)* SAILER tackles legal case retrieval, where a query case must be matched to relevant precedents. General-purpose pre-trained retrievers struggle here for two reasons. Case documents are long and follow a fixed internal logic. Legal relevance also depends on small but decisive legal elements: buying and stealing the…
2. **[LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-lexeval-comprehensive-chinese-legal-benchmark/)** *(2024 · 77 citations)* LLMs are increasingly used by lawyers and judges, yet legal work demands accuracy, reliability and fairness that these models do not reliably provide.
3. **[LegalAgentBench: Evaluating LLM Agents in Legal Domain](https://md.research.elamur.ai/free/en/papers/li-2025-legalagentbench-evaluating-llm-agents-legal/)** *(2025 · 62 citations)* LegalAgentBench addresses a gap in agent evaluation. General benchmarks such as AgentBench and ToolBench offer little insight into specialized legal work, and existing legal datasets mostly cover simple tasks like case retrieval or judgment prediction. The authors built a benchmark for LLM agents in the Chinese legal…
4. **[Chinese Court Simulation with LLM-Based Agents System](https://md.research.elamur.ai/free/en/papers/zhang-2026-chinese-court-simulation-llm-based/)** *(2026)* Mock trials are central to legal education but depend on tutors, venues and live participants, so few people can access them.

## All works

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

1. **[LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System ↗](https://doi.org/10.1145/3404835.3463250) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Yixiao Ma et al.*2021 · 161 citations*
2. **[SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval](https://md.research.elamur.ai/free/en/papers/li-2023-sailer-structure-aware-pre-trained/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Haitao Li, Qingyao Ai, Jia Chen, et al.*2023 · 134 citations*
3. **[LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-lexeval-comprehensive-chinese-legal-benchmark/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Haitao Li, You Chen, Qingyao Ai, et al.*2024 · 77 citations*
4. **[LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset ↗](https://arxiv.org/abs/2310.17609) arXiv:2310.17609 · no summary yet**Haitao Li et al.*2023 · 63 citations*
5. **[LegalAgentBench: Evaluating LLM Agents in Legal Domain](https://md.research.elamur.ai/free/en/papers/li-2025-legalagentbench-evaluating-llm-agents-legal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haitao Li, Junjie Chen, Jingli Yang, et al.*2025 · 62 citations*
6. **[CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding ↗](https://aclanthology.org/2023.emnlp-main.441/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yixiao Ma et al.*2023 · 25 citations*
7. **[THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval ↗](https://arxiv.org/abs/2305.06812) arXiv:2305.06812 · no summary yet**Haitao Li et al.*2023 · 24 citations*
8. **[JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System ↗](https://arxiv.org/abs/2503.14258) arXiv:2503.14258 · no summary yet**Weihang Su et al.*2025 · 22 citations*
9. **[An Intent Taxonomy of Legal Case Retrieval ↗](https://arxiv.org/abs/2307.13298) arXiv:2307.13298 · no summary yet**Yunqiu Shao et al.*2023 · 14 citations*
10. **[THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment ↗](https://arxiv.org/abs/2305.06817) arXiv:2305.06817 · no summary yet**Haitao Li et al.*2023 · 11 citations*
11. **[CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation ↗](https://arxiv.org/abs/2502.17943) arXiv:2502.17943 · no summary yet**Haitao Li et al.*2025 · 9 citations*
12. **[Evaluation Ethics of LLMs in Legal Domain ↗](https://arxiv.org/abs/2403.11152) arXiv:2403.11152 · no summary yet**Ruizhe Zhang et al.*2024 · 9 citations*
13. **[LegalOne: A Family of Foundation Models for Reliable Legal Reasoning ↗](https://arxiv.org/abs/2602.00642) arXiv:2602.00642 · no summary yet**Haitao Li et al.*2026 · 6 citations*
14. **[LeKUBE: A Legal Knowledge Update BEnchmark ↗](https://arxiv.org/abs/2407.14192) arXiv:2407.14192 · no summary yet**Changyue Wang et al.*2024 · 4 citations*
15. **[Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization ↗](https://arxiv.org/abs/2605.02011) arXiv:2605.02011 · no summary yet**Weihang Su et al.*2026 · 1 citation*
16. **[Chinese Court Simulation with LLM-Based Agents System](https://md.research.elamur.ai/free/en/papers/zhang-2026-chinese-court-simulation-llm-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, et al.*2026*
17. **[Civil Court Simulation with Large Language Models ↗](https://arxiv.org/abs/2606.09632) arXiv:2606.09632 · no summary yet**Yifan Chen et al.*2026*
18. **[LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks ↗](https://arxiv.org/abs/2606.09389) arXiv:2606.09389 · no summary yet**Yifan Chen et al.*2026*
19. **[Generative Chinese Statute Retrieval ↗](https://arxiv.org/abs/2607.11109) arXiv:2607.11109 · no summary yet**Yiteng Tu et al.*2026*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Haitao Li](https://md.research.elamur.ai/free/en/authors/haitao-li/) ×4
- [Qingyao Ai](https://md.research.elamur.ai/free/en/authors/qingyao-ai/) ×4
- [Yiqun Liu](https://md.research.elamur.ai/free/en/authors/yiqun-liu/) ×4
- [Cheng Luo](https://md.research.elamur.ai/free/en/authors/cheng-luo/)
- [Chong Chen](https://md.research.elamur.ai/free/en/authors/chong-chen/)
- [Jiaqi Li](https://md.research.elamur.ai/free/en/authors/jiaqi-li/)
- [Junjie Chen](https://md.research.elamur.ai/free/en/authors/junjie-chen/)
- [Qi Tian](https://md.research.elamur.ai/free/en/authors/qi-tian/)
- [Qian Dong](https://md.research.elamur.ai/free/en/authors/qian-dong/)
- [Ruizhe Zhang](https://md.research.elamur.ai/free/en/authors/ruizhe-zhang/)
- [Wei Jia](https://md.research.elamur.ai/free/en/authors/wei-jia/)
- [Weihang Su](https://md.research.elamur.ai/free/en/authors/weihang-su/)

## Venues

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

- [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/) ×2: [SIGIR 2023](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/2023/)
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 368 times (of the 149,439 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yueyue-wu/cited-by/).

Updated 2 November 2026