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Long Li

Long Li has 3 papers in our library, in 2024–2026, most of them on Reasoning; often with Chenghao Xiao, Deli Zhao, Guanhua Chen.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 6 · 32 works · 147 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 43 times in our library · ⭐ Paper Stars ranking: #7718

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

🎓Xi'an Jiaotong UniversityXi'an · China2014–2026 · 13 paperscurrent🔬Institute of Applied Physics and Computational MathematicsBeijing · China2006–2009 · 2 papers

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Symbolic Learning Enables Self-Evolving Agents (2024 · 34 citations)
    Building LLM-based agents today depends mostly on hand engineering. Developers split a task into steps, then write prompts and attach tools for each step. Earlier automatic optimizers such as DSPy, GPTSwarm, Agent-pro and AgentOptimizer tune only isolated parts, so they can get stuck in local optima. The authors…
  2. ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning (2025 · 11 citations)
    Reasoning-oriented LLMs do well in math and code, but medical QA depends on broad, accurate domain knowledge and lacks large, carefully checked reasoning data.
  3. SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks (2026 · 8 citations)
    Reinforcement learning with verifiable rewards is a common way to improve LLM reasoning, but the two main options each have a cost.

 Co-authors here

12 of 21 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 43 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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