Elamur Research⌕
☰
home / authors / Xueyuan Lin

Xueyuan Lin

Xueyuan Lin has 4 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Cehao Yang, Chengjin Xu, Erik Cambria.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 4 · 52 works · 88 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #9262

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓The Hong Kong University of Science and Technology (Guangzhou)Guangzhou · China2026 · 1 papercurrent🎓Naval Aeronautical and Astronautical UniversityYantai · China2006–2016 · 18 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2021–2023 · 4 papers🎓Shandong Vocational University of Foreign AffairsWeihai · China2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20264 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks (2026 · 10 citations)
    LLM agents on long tasks such as deep research or multi-step tool use accumulate large interaction histories.
  2. Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning (2026 · 4 citations)
    Long chain-of-thought (long-CoT) reasoning can be instilled in LLMs cheaply by supervised fine-tuning on traces generated by strong reasoning models.
  3. Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning (2026 · 3 citations)
    Many people struggle to write good prompts for hard problems, which keeps large language models from performing at their best.
  4. RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems (2026)
    The paper introduces roadmap generation as a new task. Given a complex research problem, an LLM must produce a hierarchical, tree-shaped plan of subtasks that guides a researcher step by step. The plan is encoded as Markdown headings with numbered indices.

 Co-authors here

12 of 18 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xueyuan-lin/