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Pingchuan Ma

Pingchuan Ma has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Bohan Jiang, Chuang Gan, Dawei Li.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 22 · 53 works · 2,170 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 44 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9597

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

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2024 · 1 papercurrent🎓Arizona State UniversityTempe · United States2024–2026 · 16 papers🎓Massachusetts Institute of TechnologyCambridge · United States2020–2025 · 16 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2021–2025 · 13 papers🎓Heidelberg UniversityHeidelberg · Germany2019–2020 · 2 papers🎓Nankai UniversityTianjin · China2018–2019 · 2 papers🎓Imperial College LondonLondon · United Kingdom2018Education since 2018

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workMaterials Chemistry · 1 workMaterials Science · 1 workPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery (2024 · 33 citations)
    Pretrained LLMs hold broad scientific knowledge and can reason about hypotheses. However, they cannot reliably compute what a proposed physical law predicts or check it against observations. The authors address this with Scientific Generative Agent (SGA), which couples an LLM with a differentiable simulator in a…
  2. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens (2026 · 21 citations)
    The paper asks why chain-of-thought (CoT) prompting sometimes yields convincing step-by-step reasoning and sometimes collapses.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A Content Transformation Block for Image Style Transfer ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDmytro Kotovenko et al.2019 · 84 citations
  2. LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific DiscoveryarXiv:2405.09783Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, et al.2024 · 33 citations
  3. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution LensFindings of the Association for Computational LinguisticsChengshuai Zhao, Zhen Tan, Pingchuan Ma, et al.2026 · 21 citations
  4. Physically Compatible 3D Object Modeling from a Single Image ↗neural information processing systems · no summary yetMinghao Guo et al.2024 · 6 citations

 Co-authors here

7 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 44 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

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