2nd Japanese Symposium on Open Large Language Models (poster) Upcoming
Nov. 2026National Institute of Informatics, Tokyo, Japan.
Ph.D. Candidate, Kyoto University
I am a Ph.D. candidate in Informatics at the Mathematical Information Systems Group, System Science course, Graduate School of Informatics, Kyoto University, advised by Prof. Toshiyuki Tanaka and Prof. Tomoyuki Obuchi. I am also a Research Assistant at the Research and Development Center for Large Language Models (LLMC), National Institute of Informatics (NII), where I work under the guidance of Dr. Qianying Liu and Prof. Akiko Aizawa.
I received my Master of Informatics from the same group and advisors at Kyoto University. Before that, I earned my Bachelor of Engineering in Software Engineering from Dalian University of Technology (Dual Degree: Bachelor of Science in Information Science, Ritsumeikan University), advised by Prof. Tadahiro Taniguchi.
* Equal contribution.
NeurIPS 2025Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model@inproceedings{ma2025neuralcollapse,
title = {Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model},
author = {Ma, Chuang and Obuchi, Tomoyuki and Tanaka, Toshiyuki},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
volume = {38},
year = {2025},
url = {https://arxiv.org/abs/2506.05801}
}
EMNLP 2026Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning@inproceedings{ma2026mechanistic,
title = {Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning},
author = {Ma, Chuang and Liu, Qianying and Obuchi, Tomoyuki and Cheng, Fei and Yang, Wang and Cai, Sudong and Zheng, Shuyuan and Aizawa, Akiko and Kurohashi, Sadao},
booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
year = {2026},
note = {To appear},
url = {https://arxiv.org/abs/2606.01914}
}
COLM 2026Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation@inproceedings{wang2026pathlock,
title = {Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation},
author = {Wang, Shouren and Yang, Wang and Ma, Chuang and Ganguly, Debargha and Singh, Vikash and Song, Chaoda and Li, Xinpeng and Long, Xianxuan and Chaudhary, Vipin and Han, Xiaotian},
booktitle = {Conference on Language Modeling (COLM)},
year = {2026},
url = {https://openreview.net/forum?id=vifGxn9AUq}
}
Understanding Head Geometry and Dynamics in Federated Regression through a Natural Solution Selection Rule: An Unconstrained Feature Model Analysis@misc{ma2026headgeometry,
title = {Understanding Head Geometry and Dynamics in Federated Regression through a Natural Solution Selection Rule: An Unconstrained Feature Model Analysis},
author = {Ma, Chuang and Obuchi, Tomoyuki},
year = {2026},
eprint = {2609.39464},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2609.39464}
}
How to Loop MoE: Flatten the Experts, Untie the Attention@misc{wang2026loopmoe,
title = {How to Loop MoE: Flatten the Experts, Untie the Attention},
author = {Wang, Shouren and Ma, Chuang and Hariri, Mohsen and Ganguly, Debargha and Yang, Wang and Tong, Xiaoqing and Liu, Qianying and Han, Xiaotian and Chaudhary, Vipin},
year = {2026},
eprint = {2609.35751},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2609.35751}
}
A Survey on Agent Skills for LLMs: A Lifecycle Perspective from Construction to Ecosystems@misc{yang2026agentskills,
title = {A Survey on Agent Skills for LLMs: A Lifecycle Perspective from Construction to Ecosystems},
author = {Yang, Wang and Song, Chaoda and Li, Xinpeng and Wang, Shouren and Wang, Nengbo and Zhang, Yanyan and Ma, Chuang and Ganguly, Debargha and Singh, Vikash and Xu, Shuai and Ma, Jing and Yin, Yu and Chaudhary, Vipin and Han, Xiaotian},
year = {2026},
howpublished = {SSRN preprint 6746498},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6746498}
}
AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments@misc{yang2026agentce,
title = {AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments},
author = {Yang, Wang and Song, Chaoda and Li, Xinpeng and Ganguly, Debargha and Ma, Chuang and Wang, Shouren and Dou, Zhihao and Zhou, Yuli and Chaudhary, Vipin and Han, Xiaotian},
year = {2026},
eprint = {2604.06111},
archivePrefix = {arXiv},
primaryClass = {cs.AI},
url = {https://arxiv.org/abs/2604.06111}
}
When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning@misc{yang2026domains,
title = {When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning},
author = {Yang, Wang and Wang, Shouren and Song, Chaoda and Ma, Chuang and Li, Xinpeng and Wang, Nengbo and Zhou, Kaixiong and Chaudhary, Vipin and Han, Xiaotian},
year = {2026},
eprint = {2602.01365},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2602.01365}
}
@unpublished{liu2026jmo,
title = {JMO: A Benchmark for Mathematical Reasoning on Japanese Olympiad Problems},
author = {Liu, Qianying and Ma, Chuang and Liu, Chaoran and Cheng, Fei and Kurohashi, Sadao},
year = {2026},
note = {Under review}
}
National Institute of Informatics, Tokyo, Japan.
EMNLP 2026, Budapest, Hungary.
COLM 2026, San Francisco, USA.
Qianying Liu, Chuang Ma, et al. MathNLP Workshop, EMNLP 2025.
The 80th Annual Meeting of the Physical Society of Japan, Hiroshima, Japan.
The 27th Information-Based Induction Sciences Workshop (IBIS 2024), Saitama, Japan.

Multilingual and multimodal pretraining toward a 9B-parameter model trained on fully license-compliant data, to be released fully open source.
Research on interpretability and explainability of multimodal large language models.

Numerical experiments and research support in the KAKENHI project "Statistical Mechanical Approaches to High-Dimensional Machine Learning."
Major in artificial intelligence. Mathematical Information Systems Group, Graduate School of Informatics.
Dual Degree: Bachelor of Science in Information Science, Ritsumeikan University (Oct. 2019 – Sep. 2021)
Ritsumeikan University, Academically Outstanding Students Category
ma.chuang.52h@st.kyoto-u.ac.jp · chuang_ma@nii.ac.jp · Kyoto, Japan