--- title: "Xiao Liang — author profile and papers — Elamur Research" description: "Xiao Liang, Hong Kong Polytechnic University: 4 papers on Elamur Research (2025–2026), h-index 18 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/xiao-liang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiao-liang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiao Liang # Xiao Liang Xiao Liang has 4 papers in our library, in 2025–2026, 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Hengyuan Zhang](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/), [Lei Ji](https://md.research.elamur.ai/free/en/authors/lei-ji/), [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5063695855) · [ORCID](https://orcid.org/0000-0002-9874-3376) · [**h-index 18**](https://openalex.org/authors/A5063695855) · [75 works](https://openalex.org/works?filter=author.id:A5063695855) · [1,413 citations](https://openalex.org/works?filter=author.id:A5063695855&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xiao-liang/#papers) · [🔗 Cited 38 times in our library](https://md.research.elamur.ai/free/en/authors/xiao-liang/cited-by/) · [⭐ Paper Stars ranking: #7949](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7949) 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=Xiao+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiao+Liang) · [dblp](https://dblp.org/search?q=Xiao+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Xiao+Liang) ## Affiliations [🎓**Hong Kong Polytechnic University** Hong Kong · China 2022–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Education University of Hong Kong** Tai Po · China 2025–2026 · 4 papers*current*](https://ror.org/000t0f062) · [🏥**First Affiliated Hospital of Xi'an Jiaotong University** Xi'an · China 2018–2026 · 2 papers*current*](https://ror.org/02tbvhh96) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2015–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏥**Shanghai Ninth People's Hospital** Shanghai · China 2015–2026 · 2 papers*current*](https://ror.org/010826a91) · [🎓**Guilin Medical University** Guilin · China 2026 · 1 paper*current*](https://ror.org/000prga03) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2020–2023 · 16 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**China Academy of Chinese Medical Sciences** Beijing · China 2022–2024 · 4 papers](https://ror.org/042pgcv68) · [🏥**Xiyuan Hospital** Beijing · China 2022–2024 · 4 papers](https://ror.org/02y0vze35) · [🎓**Northeast Normal University** Changchun · China 2021–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/northeast-normal-university/) 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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xiao-liang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xiao-liang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective](https://md.research.elamur.ai/free/en/papers/yu-2025-chain-reasoning-unified-mathematical-reasoning/)** *(2025 · 23 citations)* Current LLM math solvers are usually tuned for a single reasoning style. Some use natural-language chains of thought, others use executable code, and others use formal proofs. As a result, a model strong at arithmetic word problems often fails at theorem proving, and the reverse. The authors propose… 2. **[Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation](https://md.research.elamur.ai/free/en/papers/zhang-2026-find-your-optimal-teacher-personalized/)** *(2026 · 13 citations)* Small LLMs are usually distilled by fine-tuning them on outputs from the most powerful available teacher. Prior work shows this can backfire: very strong teachers may produce answers that are too complex or too far from what the student can absorb. Earlier remedies (Mix, CAR) still make every candidate teacher answer… 3. **[TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression](https://md.research.elamur.ai/free/en/papers/li-2025-tl-dr-too-long-re/)** *(2025 · 8 citations)* Reasoning-focused LLMs that generate long Chain-of-Thought (CoT) often overthink, spending many tokens even on easy questions. Existing compression approaches usually need laborious data labeling, model interpolation (as in CoT-Valve), or costly RL with length penalties. 4. **[Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training](https://md.research.elamur.ai/free/en/papers/yang-2026-data-mixing-agent-learning-re/)** *(2026 · 1 citation)* Continual pre-training of an LLM on a narrow target field, such as math, often causes catastrophic forgetting of general skills. ## Co-authors here 12 of 31 co-authors with a page, the most papers together first. - [Hengyuan Zhang](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/) ×2 - [Lei Ji](https://md.research.elamur.ai/free/en/authors/lei-ji/) ×2 - [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/) ×2 - [Yeyun Gong](https://md.research.elamur.ai/free/en/authors/yeyun-gong/) ×2 - [Chaofan Tao](https://md.research.elamur.ai/free/en/authors/chaofan-tao/) - [Chenming Shang](https://md.research.elamur.ai/free/en/authors/chenming-shang/) - [Dongdong Zhang](https://md.research.elamur.ai/free/en/authors/dongdong-zhang/) - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) - [Haizhen Huang](https://md.research.elamur.ai/free/en/authors/haizhen-huang/) - [Hany Awadalla](https://md.research.elamur.ai/free/en/authors/hany-awadalla/) - [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/) - [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/) ## 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, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 38 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiao-liang/cited-by/). Updated 1 November 2026