🧑‍🔬 Chiyu Ma

🏛️ Affiliations

🎓Oakland UniversityRochester · United States2025–2026 · 8 papersEmployment since 2025 · Assistant Professor, Computer Science and Engineeringcurrent🎓Dartmouth CollegeHanover · United States2020–2025 · 41 papersEmployment since 2024 · Visiting Scholar, Computer Science🎓Georgia Institute of TechnologyAtlanta · United States2024–2025 · 7 papers🎓Boston UniversityBoston · United States2018 · 3 papers🎓City University of New YorkNew York · United States2016–2018 · 2 papers🎓Communication University of ChinaBeijing · China2012 · 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.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge (2025 · 71 citations)
   LLM judges are widely used as a cheaper substitute for human evaluators, but they often favour an answer because of where it sits in the prompt rather than because of what it says.
2. SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models (2025 · 11 citations)
   Large audio-language models (LALMs) can understand speech, but they are weak at multi-step logical reasoning.
3. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning (2026 · 4 citations)
   Curriculum learning, which sorts training examples from easy to hard, is often used to improve LLM reasoning.
4. Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts (2026 · 3 citations)
   Answering multi-hop questions over long documents requires connecting facts that appear far apart, while ignoring distracting text.

All works

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

1. Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetRuibo Liu et al.2020 · 103 citations
2. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
3. Deciphering Stereotypes in Pre-Trained Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetWeicheng Ma et al.2023 · 17 citations
4. An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data ↗Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020) · no summary yetLili Wang et al.2020 · 13 citations
5. SoundMind: RL-Incentivized Logic Reasoning for Audio-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xingjian Diao, Chunhui Zhang, Keyi Kong, et al.2025 · 11 citations
6. Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetWeicheng Ma et al.2024 · 9 citations
7. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yaning Jia, Chunhui Zhang, Xingjian Diao, et al.2026 · 4 citations
8. Tailoring Memory Granularity for Multi-Hop Reasoning over Long ContextsFindings of the Association for Computational LinguisticsPeijun Qing, Xingjian Diao, Chiyu Ma, et al.2026 · 3 citations
9. When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype Mitigation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYahan Zheng et al.2026

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Soroush Vosoughi ×4
• Xingjian Diao ×4
• Chunhui Zhang ×2
• Peijun Qing ×2
• Zhongyu Ouyang ×2
• Lin Shi
• Weicheng Ma
• Xiangchi Yuan

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3: EMNLP 2025
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026
• Findings of the Association for Computational Linguistics: ACL 2024 ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• International Joint Conference on Natural Language Processing (IJCNLP): IJCNLP 2025
• International Workshop on Semantic Evaluation (SemEval)
• Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)

🔗 Cited by

Papers of our library cite their works 123 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated 31 October 2026

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