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Weijie Yu

Weijie Yu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Jun Xu, Xiao Zhang, Zhongxiang Sun.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 7 · 39 works · 356 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 55 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #8959

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

🎓University of International Business and EconomicsBeijing · China2023–2026 · 19 papersEmployment · School of Information Technology and Managementcurrent🎓Renmin University of ChinaBeijing · China2020–2024 · 5 papersEducation · PhD, School of Information🎓Southeast UniversityDhaka · Bangladesh2024–2025 · 3 papers🎓Southeast UniversityNanjing · China2024 · 2 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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workReasoning · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding (2025 · 22 citations)
    Retrieval-augmented generation (RAG) pipelines still struggle with questions that require several chained reasoning and lookup steps.
  2. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs (2026)
    The paper examines an overlooked risk of personalized LLMs. When a model is conditioned on a user's chat history or profile, it may answer factual questions in line with what the user said before instead of with the truth. The authors call this failure "personalization-induced hallucination." They attribute it to…

All works

7 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. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Zhongxiang Sun, Qipeng Wang, Weijie Yu, et al.2025 · 22 citations
  2. CitaLaw: Enhancing LLM with Citations in Legal Domain ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetKepu Zhang et al.2025 · 19 citations
  3. Logic Rules as Explanations for Legal Case Retrieval ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetZhongXiang Sun et al.2024 · 17 citations
  4. Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetKepu Zhang et al.2025 · 9 citations
  5. Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetKepu Zhang et al.2025 · 6 citations
  6. An Explicit Syllogistic Legal Reasoning Framework for Large Language Models ↗arXiv:2504.04042 · no summary yetKepu Zhang et al.2025 · 6 citations
  7. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMsFindings of the Association for Computational LinguisticsZhongxiang Sun, Yi Zhan, Chenglei Shen, et al.2026

 Co-authors here

6 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 55 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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