--- title: "Shuofei Qiao — author profile and papers · Reasoning" description: "Shuofei Qiao, Tencent: 4 papers on Elamur Research (2022–2026), h-index 10 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/shuofei-qiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuofei-qiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuofei Qiao # Shuofei Qiao Shuofei Qiao has 4 papers in our library, in 2022–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Huajun Chen](https://md.research.elamur.ai/free/en/authors/huajun-chen/), [Ningyu Zhang](https://md.research.elamur.ai/free/en/authors/ningyu-zhang/), [Da Zheng](https://md.research.elamur.ai/free/en/authors/da-zheng/). 4 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5091748443) · [ORCID](https://orcid.org/0000-0002-1608-4638) · [**h-index 10**](https://openalex.org/authors/A5091748443) · [80 works](https://openalex.org/works?filter=author.id:A5091748443) · [668 citations](https://openalex.org/works?filter=author.id:A5091748443&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/shuofei-qiao/#papers) · [🔗 Cited 215 times in our library](https://md.research.elamur.ai/free/en/authors/shuofei-qiao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6290](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6290) 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=Shuofei+Qiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuofei+Qiao) · [dblp](https://dblp.org/search?q=Shuofei+Qiao) · [ACL Anthology](https://aclanthology.org/search/?q=Shuofei+Qiao) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2022–2026 · 54 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏢**Ant Group** Hangzhou · China 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🏢**Alibaba Group** Hangzhou · China 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**National University of Singapore** Singapore · Singapore 2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shuofei-qiao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/shuofei-qiao/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/shuofei-qiao/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Reasoning with Language Model Prompting: A Survey](https://md.research.elamur.ai/free/en/papers/qiao-2022-reasoning-language-model-prompting-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](https://md.research.elamur.ai/free/en/papers/zhang-2025-lightthinker-thinking-step-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](https://md.research.elamur.ai/free/en/papers/ren-2026-knowrl-exploring-knowledgeable-reinforcement-learning/)** *(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](https://md.research.elamur.ai/free/en/papers/xue-2026-mitigating-context-interference-reliable-efficient/)** *(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 Survey arXiv:2212.09597**Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.*2022 · 161 citations*](https://md.research.elamur.ai/free/en/papers/qiao-2022-reasoning-language-model-prompting-survey/) 2. **[DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population ↗](https://aclanthology.org/2022.emnlp-demos.10/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Ningyu Zhang et al.*2022 · 60 citations* 3. **[LightThinker: Thinking Step-by-Step Compression](https://md.research.elamur.ai/free/en/papers/zhang-2025-lightthinker-thinking-step-step-compression/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jintian Zhang, Yuqi Zhu, Mengshu Sun, et al.*2025 · 50 citations* 4. **[KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality](https://md.research.elamur.ai/free/en/papers/ren-2026-knowrl-exploring-knowledgeable-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.*2026 · 5 citations* 5. **[Mitigating Context Interference for Reliable and Efficient Search Agents](https://md.research.elamur.ai/free/en/papers/xue-2026-mitigating-context-interference-reliable-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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](https://md.research.elamur.ai/free/en/authors/huajun-chen/) ×3 - [Ningyu Zhang](https://md.research.elamur.ai/free/en/authors/ningyu-zhang/) ×3 - [Da Zheng](https://md.research.elamur.ai/free/en/authors/da-zheng/) ×2 - [Aldo Lipani](https://md.research.elamur.ai/free/en/authors/aldo-lipani/) - [Bin Wu](https://md.research.elamur.ai/free/en/authors/bin-wu/) - [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/) - [Chuanqi Tan](https://md.research.elamur.ai/free/en/authors/chuanqi-tan/) - [Emine Yilmaz](https://md.research.elamur.ai/free/en/authors/emine-yilmaz/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) - [Jeff Z. Pan](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/) - [Jintian Zhang](https://md.research.elamur.ai/free/en/authors/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)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/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 →](https://md.research.elamur.ai/free/en/authors/shuofei-qiao/cited-by/). Updated 2 November 2026