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Bolei Ma

Bolei Ma has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Barbara Plank, Frauke Kreuter, Annemarie Friedrich.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 5 · 53 works · 140 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 120 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #4916

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 · Germany2022–2026 · 38 papersEmployment · Postdoc, Statisticscurrent🎓Munich Center for Machine LearningMunich2023–2026 · 30 paperscurrent🎓The University of TokyoTokyo · Japan2026 · 3 paperscurrent🎓University of Maryland, College ParkCollege Park · United States2023–2025 · 2 papersEmployment · Assistant Research Professor, Survey Methodology🎓Karlsruhe Institute of TechnologyKarlsruhe · Germany2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

💡 Concepts 1Key ideas and methods explained on our concept pages.Implicature · 1 work

 Works by year

2020s

20251 paperPragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges20241 paper“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models

 Papers

The most cited first (OpenAlex and our library).

  1. “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models (2024 · 89 citations)
    Multiple-choice benchmarks often score instruction-tuned LLMs by checking which option letter receives the highest log probability as the first generated token.
  2. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges (2025 · 49 citations)
    The survey examines how the pragmatic competence of language models is evaluated, that is, their ability to understand meaning that depends on context and does not follow from the literal content of words.

All works

9 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. “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language ModelsFindings of the Association for Computational LinguisticsXinpeng Wang, Bolei Ma, Chengzhi Hu, et al.2024 · 89 citations
  2. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
  3. M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment AnalysisProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetChengYan Wu et al.2025 · 21 citations
  4. Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case StudyProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetBolei Ma et al.2025 · 10 citations
  5. Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetWei Zhou et al.2026 · 2 citations
  6. The Imperfective Paradox in Large Language ModelsProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetBolei Ma, Yusuke Miyao2026
  7. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationProceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetBolei Ma et al.2026
  8. MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment AnalysisProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetChengyan Wu et al.2026
  9. Can Large Language Models Advance Crosswalks? The Case of Danish Occupation CodesProceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop) · original ↗ · no summary yetBolei Ma, Cynthia A. Huang, Anna-Carolina Haensch2025

 Co-authors here

8 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 120 times (of the 141,840 papers whose bibliographies we read); 12 citing papers with a page here →.

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