Junlong Li
Junlong Li has 3 papers in our library, in 2023–2025, most of them on Evaluation & benchmarks, Reasoning; often with Daya Guo, Dejian Yang, Hai Zhao.
OpenAlex · ORCID · h-index 10 · 48 works · 374 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 152 times in our library · ⭐ Paper Stars ranking: #6086
Affiliations
🏛️Ministry of Industry and Information TechnologyBeijing ·
China2026 · 1 paper🎓Northwestern Polytechnical UniversityXi'an ·
China2026 · 1 paper🏛️Chinese Academy of SciencesBeijing ·
China2020–2025 · 7 papers🎓Harbin Institute of TechnologyHarbin ·
China2011–2025 · 6 papers🔬Center for High Pressure Science & Technology Advanced ResearchBeijing ·
China2022–2025 · 4 papers🔬Center for High Pressure Science and Technology Advanced ResearchShanghai ·
China2022–2025 · 4 papers🎓Qingdao University of Science and TechnologyQingdao ·
China2024–2025 · 4 papers🎓Shanghai Jiao Tong UniversityShanghai ·
China2024–2025 · 4 papers🔬Institute of MicroelectronicsBeijing ·
China2020–2021 · 4 papers🔬Beijing Synchrotron Radiation FacilityBeijing ·
China2022–2025 · 3 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Generative Judge for Evaluating Alignment (2023 · 125 citations)
As LLMs move from classic NLP tasks toward open-ended, user-facing requests such as email drafting or brainstorming, evaluating them requires a judge that: - CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction (2025 · 21 citations)
Large language models improve readily at math and code generation because training data for those skills is plentiful. Other reasoning areas, such as logic, science and symbolic tasks, have far scarcer supervision. CodeI/O addresses this gap by using real code as a source of general reasoning patterns. - The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution (2025 · 13 citations)
Most benchmarks for tool-using language agents test narrow domains, short interactions, or artificial environments, so they reveal little about how agents handle real multi-application work.
Co-authors here
- Daya Guo
- Dejian Yang
- Hai Zhao
- Jian Zhao
- Junteng Liu
- Junxian He
- Pengfei Liu
- Run-Ze Fan
- Runxin Xu
- Wei Liu
- Weihao Zeng
- Weizhe Yuan
Cited by
Updated
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