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Lingyao Li

Lingyao Li has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Lizhou Fan, Wenyue Hua, Yongfeng Zhang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 20 · 99 works · 1,387 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 77 times in our library · ⭐ Paper Stars ranking: #8385

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

🎓University of MichiganAnn Arbor · United States2023–2026 · 27 paperscurrent🎓University of South FloridaTampa · United States2023–2026 · 25 paperscurrent🏢ByteDanceBeijing · China2026 · 1 papercurrent🎓University of CincinnatiCincinnati · United States2026 · 1 papercurrent🎓University of Maryland, College ParkCollege Park · United States2015–2023 · 11 papersEducation since 2015🎓Weifang UniversityWeifang · China2022–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 · 2 worksComputer Science · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars (2023 · 54 citations)
    The authors ask whether large language models can help study how international conflicts arise and whether historical wars could have been avoided.
  2. NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes (2024 · 47 citations)
    Most reasoning benchmarks for LLMs are fixed and publicly available, so models can memorize them or be tuned toward them, which inflates scores.

 Co-authors here

5 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 77 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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