--- title: "Houqiang Li — author profile and papers — Elamur Research" description: "Houqiang Li, University of Science and Technology of China: 3 papers on Elamur Research (2026), h-index 4 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/houqiang-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/houqiang-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Houqiang Li # Houqiang Li Houqiang Li has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Wengang Zhou](https://md.research.elamur.ai/free/en/authors/wengang-zhou/), [Dongyun Xue](https://md.research.elamur.ai/free/en/authors/dongyun-xue/), [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5127803591) · [**h-index 4**](https://openalex.org/authors/A5127803591) · [11 works](https://openalex.org/works?filter=author.id:A5127803591) · [67 citations](https://openalex.org/works?filter=author.id:A5127803591&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/houqiang-li/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #12390](https://md.research.elamur.ai/free/en/paper-stars/page/124/#star-12390) 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=Houqiang+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Houqiang+Li) · [dblp](https://dblp.org/search?q=Houqiang+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Houqiang+Li) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/houqiang-li/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Bias Fitting to Mitigate Length Bias of Reward Model in RLHF](https://md.research.elamur.ai/free/en/papers/zhao-2026-bias-fitting-mitigate-length-bias/)** *(2026 · 2 citations)* Reward models used in RLHF often give higher scores to longer answers whether or not those answers are better. 2. **[Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-exploration-exploitation-reshaping-efficient-reasoning/)** *(2026)* Large Reasoning Models often overthink, producing very long chains of thought that waste compute and can introduce errors. 3. **[SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval](https://md.research.elamur.ai/free/en/papers/xie-2026-sga-mcts-decoupling-planning-execution/)** *(2026)* Tool-using LLM agents need multi-step planning, but the usual options involve a trade-off. Search at inference time gives deep reasoning but is slow. Fine-tuning builds skills into weights that adapt poorly when tool schemas change. SGA-MCTS avoids both by treating planning as training-free retrieval of past… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Wengang Zhou](https://md.research.elamur.ai/free/en/authors/wengang-zhou/) ×3 - [Dongyun Xue](https://md.research.elamur.ai/free/en/authors/dongyun-xue/) ×2 - [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) - [Haoyang Liu](https://md.research.elamur.ai/free/en/authors/haoyang-liu/) - [Jianfeng Cai](https://md.research.elamur.ai/free/en/authors/jianfeng-cai/) - [Jinhua Zhu](https://md.research.elamur.ai/free/en/authors/jinhua-zhu/) - [Li Li](https://md.research.elamur.ai/free/en/authors/li-li/) - [Peng Zhang](https://md.research.elamur.ai/free/en/authors/peng-zhang/) - [Yuxiang Zhang](https://md.research.elamur.ai/free/en/authors/yuxiang-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026