🧑‍🔬 Shuofei Qiao

🏛️ Affiliations

🎓Zhejiang UniversityHangzhou · China2022–2026 · 54 papersEmploymentcurrent🏢Ant GroupHangzhou · China2023–2026 · 11 paperscurrent🏢Alibaba GroupHangzhou · China2024–2026 · 4 paperscurrent🏢TencentShenzhen · China2026 · 1 papercurrent🎓National University of SingaporeSingapore · Singapore2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Reasoning with Language Model Prompting: A Survey (2022 · 161 citations)
   This survey maps the fast-growing work on getting large language models to reason through prompting rather than through task-specific architectures.
2. LightThinker: Thinking Step-by-Step Compression (2025 · 50 citations)
   Slow, o1-style reasoning makes LLMs produce very long token sequences. Because attention cost grows quadratically and the KV Cache grows linearly with context, these outputs are expensive in memory and time. LightThinker addresses this by teaching a model to condense each intermediate reasoning step as it goes. After…
3. KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality (2026 · 5 citations)
   Slow-thinking LLMs such as DeepSeek-R1 distillations reason well but hallucinate heavily. One reason is that standard RL rewards only the final answer, so invented reasoning steps still get reinforced whenever the answer happens to be right. KnowRL addresses this by adding factual supervision to the reasoning trace…
4. Mitigating Context Interference for Reliable and Efficient Search Agents (2026)
   Multi-turn LLM search agents repeatedly query a retriever and add the returned documents to their working context.

All works

5 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. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
2. DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yetNingyu Zhang et al.2022 · 60 citations
3. LightThinker: Thinking Step-by-Step CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jintian Zhang, Yuqi Zhu, Mengshu Sun, et al.2025 · 50 citations
4. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
5. Mitigating Context Interference for Reliable and Efficient Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Boyang Xue, Bin Wu, Shuofei Qiao, et al.2026

🤝 Co-authors here

12 of 24 co-authors with a page, the most papers together first.

• Huajun Chen ×3
• Ningyu Zhang ×3
• Da Zheng ×2
• Aldo Lipani
• Bin Wu
• Boyang Xue
• Chuanqi Tan
• Emine Yilmaz
• Fei Huang
• Hongru Wang
• Jeff Z. Pan
• Jintian Zhang

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) ×3: ACL 2026 ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

🔗 Cited by

Papers of our library cite their works 215 times (of the 149,439 papers whose bibliographies we read); 69 citing papers with a page here →.

Updated 2 November 2026

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