🧑‍🔬 Weihang Su

🏛️ Affiliations

🎓Tsinghua UniversityBeijing · China2023–2026 · 49 paperscurrent🔬Quan Cheng LaboratoryJinan · China2024–2026 · 6 paperscurrent🏢TencentShenzhen · China2026 · 1 papercurrent🎓Beijing University of Posts and TelecommunicationsBeijing · China2021–2022 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models (2024 · 137 citations)
   Dynamic retrieval-augmented generation lets an LLM fetch external documents several times while it writes.
2. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models (2024 · 98 citations)
   LLMs often produce fluent text that is factually wrong. Most detectors check that text only after generation is finished. They usually rely on another large model, which makes them slow and costly, and they cannot see how a particular model produced the error. The authors propose MIND, a framework that spots…

All works

12 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. DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihang Su, Yichen Tang, Qingyao Ai, et al.2024 · 137 citations
2. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language ModelsFindings of the Association for Computational LinguisticsWeihang Su, Changyue Wang, Qingyao Ai, et al.2024 · 98 citations
3. STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetWeihang Su et al.2024 · 27 citations
4. CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetYixiao Ma et al.2023 · 25 citations
5. THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval ↗arXiv:2305.06812 · no summary yetHaitao Li et al.2023 · 24 citations
6. JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System ↗arXiv:2503.14258 · no summary yetWeihang Su et al.2025 · 22 citations
7. THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment ↗arXiv:2305.06817 · no summary yetHaitao Li et al.2023 · 11 citations
8. STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals ↗arXiv:2406.15313 · no summary yetWeihang Su et al.2024 · 7 citations
9. LeKUBE: A Legal Knowledge Update BEnchmark ↗arXiv:2407.14192 · no summary yetChangyue Wang et al.2024 · 4 citations
10. Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization ↗arXiv:2605.02011 · no summary yetWeihang Su et al.2026 · 1 citation
11. Generative Chinese Statute Retrieval ↗arXiv:2607.11109 · no summary yetYiteng Tu et al.2026
12. Chinese Court Simulation with LLM-Based Agents System ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetKaiyuan Zhang et al.2026

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Qingyao Ai ×2
• Yiqun Liu ×2
• Zhijing Wu ×2
• Yiran Hu
• Yujia Zhou

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): ACL 2024
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2024
• Findings of the Association for Computational Linguistics: ACL 2026
• Findings of the Association for Computational Linguistics: EMNLP 2024
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 196 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 24 October 2026

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