🧑‍🔬 Zhijing Wu

🏛️ Affiliations

🎓Beijing Institute of TechnologyBeijing · China2022–2026 · 34 paperscurrent🎓Fudan UniversityShanghai · China2024–2026 · 4 paperscurrent🎓Nanjing UniversityNanjing · China2025–2026 · 4 paperscurrent🎓Tsinghua UniversityBeijing · China2017–2023 · 16 papers🎓Zhejiang UniversityHangzhou · China2005–2023 · 7 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing2017–2023 · 5 papers🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2020–2022 · 3 papers🎓Shanghai Jiao Tong UniversityShanghai · China2010–2011 · 3 papers🎓Beijing Forestry UniversityBeijing · China2022–2023 · 2 papers🎓Xidian UniversityXi'an · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 more institutions 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

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. 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. Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZi-Ao Ma et al.2026
4. Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question Answering ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYuhang Tian et al.2026

🤝 Co-authors here

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

• Qingyao Ai ×2
• Weihang Su ×2
• Yiqun Liu ×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) ×2: 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

🔗 Cited by

Papers of our library cite their works 114 times (of the 141,840 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 24 October 2026

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