--- title: "Erxue Min — author profile and papers — Elamur Research" description: "Erxue Min, Baidu: 4 papers on Elamur Research (2025–2026), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/erxue-min/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/erxue-min/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Erxue Min # Erxue Min Erxue Min 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/); often with [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/), [Dugang Liu](https://md.research.elamur.ai/free/en/authors/dugang-liu/), [Gerald Penn](https://md.research.elamur.ai/free/en/authors/gerald-penn/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5001749693) · [ORCID](https://orcid.org/0000-0002-1972-6608) · [Wikidata](https://www.wikidata.org/wiki/Q131012128) · [**h-index 11**](https://openalex.org/authors/A5001749693) · [41 works](https://openalex.org/works?filter=author.id:A5001749693) · [1,190 citations](https://openalex.org/works?filter=author.id:A5001749693&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/erxue-min/#papers) · [🔗 Cited 35 times in our library](https://md.research.elamur.ai/free/en/authors/erxue-min/cited-by/) · [⭐ Paper Stars ranking: #9099](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9099) 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=Erxue+Min) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Erxue+Min) · [dblp](https://dblp.org/search?q=Erxue+Min) · [ACL Anthology](https://aclanthology.org/search/?q=Erxue+Min) ## Affiliations [🏢**Baidu** Beijing · China 2024–2026 · 19 papers*current*](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**National University of Defense Technology** Changsha · China 2017–2021 · 10 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**University of Manchester** Manchester · United Kingdom 2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) 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 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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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** 1 paper](https://md.research.elamur.ai/free/en/authors/erxue-min/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/erxue-min/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLMs + Persona-Plug = Personalized LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-llms-persona-plug-personalized-llms/)** *(2025 · 31 citations)* Making LLMs adapt to individual users usually means either training a separate model per user, which is costly and fails when user data is scarce, or retrieving a few relevant past texts as demonstrations. 2. **[Selective Preference Optimization via Token-Level Reward Function Estimation](https://md.research.elamur.ai/free/en/papers/yang-2025-selective-preference-optimization-token-level/)** *(2025 · 8 citations)* Token-level preference alignment for LLMs usually trains on every token, which adds noise and wastes compute. 3. **[Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhao-2025-tiny-budgets-big-gains-parameter/)** *(2025 · 8 citations)* Parameter-efficient fine-tuning methods such as LoRA lower the cost of adapting large models. Yet models now reach hundreds of billions of parameters, so even rank-1 LoRA can be too heavy for mobile hardware or labs with little compute. The authors ask how a very small, fixed budget of trainable parameters should be… 4. **[Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement](https://md.research.elamur.ai/free/en/papers/sun-2026-learning-cognition-enhancing-rl-efficiency/)** *(2026)* Zero-RL training with verifiable rewards wastes much of its compute on weaker base LLMs. With a fixed prompt template, many problems yield no correct rollout, so accuracy-based filtering discards them. Cog-Rethinker tackles this by adding two cognition-inspired rollout stages on top of a DAPO-style pipeline. Problems… ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/) - [Dugang Liu](https://md.research.elamur.ai/free/en/authors/dugang-liu/) - [Gerald Penn](https://md.research.elamur.ai/free/en/authors/gerald-penn/) - [Jiaru Li](https://md.research.elamur.ai/free/en/authors/jiaru-li/) - [Jimin Huang](https://md.research.elamur.ai/free/en/authors/jimin-huang/) - [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/) - [Kailai Yang](https://md.research.elamur.ai/free/en/authors/kailai-yang/) - [Qianqian Xie](https://md.research.elamur.ai/free/en/authors/qianqian-xie/) - [Shuaiqiang Wang](https://md.research.elamur.ai/free/en/authors/shuaiqiang-wang/) - [Shuting Wang](https://md.research.elamur.ai/free/en/authors/shuting-wang/) - [Sophia Ananiadou](https://md.research.elamur.ai/free/en/authors/sophia-ananiadou/) - [Xiaochi Wei](https://md.research.elamur.ai/free/en/authors/xiaochi-wei/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2 ## Cited by Papers of our library cite their works 35 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/erxue-min/cited-by/). Updated 2 November 2026