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Yibo Miao

Yibo Miao has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Code & programming languages; often with Bofei Gao, An Yang, Benyou Wang.

3 papers in our library · 2024–2025

OpenAlex · h-index 7 · 41 works · 103 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 658 times in our library · ⭐ Paper Stars ranking: #5653

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

🎓Shanghai Jiao Tong UniversityShanghai · China2024–2026 · 17 paperscurrent🔬Academy of Mathematics and Systems ScienceBeijing · China2024–2026 · 5 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2024–2026 · 5 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2024–2026 · 3 paperscurrent🏢Alibaba GroupHangzhou · China2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 10The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksMathematics · 1 workApplied Mathematics · 1 workComputational Theory and Mathematics · 1 workInformation Systems · 2 worksComputer Science Applications · 1 workSoftware · 1 work

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

 Works by year

2020s

20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models (2024 · 163 citations)
    Widely used math benchmarks such as GSM8K and MATH are close to saturated. OpenAI o1 scores about 95% on MATH, so these tests no longer separate the strongest LLMs well. The authors built Omni-MATH, a text-only benchmark of 4,428 competition problems. They range from introductory contests (CEMC, HMMT) up to IMO…
  2. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings (2025 · 37 citations)
    Competitive-programming benchmarks for LLMs judge solutions unreliably. Online judges keep their test suites private, so existing benchmarks such as LiveCodeBench, USACO and CodeContests rely on weaker public or synthetic tests that let wrong solutions pass. These benchmarks also cannot handle problems with multiple…
  3. Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents (2025 · 4 citations)
    Automated GitHub issue fixing, as measured by SWE-bench, has split into two camps. Multi-turn SWE-Agents are flexible but hard to train end-to-end. Pipeline-style Agentless methods are easy to optimize with verifiable rewards but rigid. The authors argue the two approaches can be combined: training on Agentless…

 Co-authors here

12 of 24 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 658 times (of the 149,439 papers whose bibliographies we read); 172 citing papers with a page here →.

Updated

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