Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Bayesian graph neural networks for EEG-based emotion recognition
Published in International Conference on Machine Learning, 2021
Tracing the training origins of interpretable LLM units.
Recommended citation: Jianhui Chen, Yuzhang Luo, Liangming Pan. (2026). "Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units." ICML.
When does in-context learning fall short and why? a study on specification-heavy tasks
Published in International Conference on Machine Learning, 2023
Tracing the training origins of interpretable LLM units.
Recommended citation: Jianhui Chen, Yuzhang Luo, Liangming Pan. (2026). "Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units." ICML.
Download Paper
Kola: Carefully benchmarking world knowledge of large language models
Published in Annual Meeting of the Association for Computational Linguistics, 2024
A survey on the mechanisms and methods of large reasoning models.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Download Paper
MAVEN-ARG: Completing the puzzle of all-in-one event understanding dataset with event argument annotation
Published in Annual Meeting of the Association for Computational Linguistics, 2024
A survey on the mechanisms and methods of large reasoning models.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Download Paper
Are reasoning models more prone to hallucination?
Published in International Conference on Machine Learning, 2025
Tracing the training origins of interpretable LLM units.
Recommended citation: Jianhui Chen, Yuzhang Luo, Liangming Pan. (2026). "Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units." ICML.
Download Paper
Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons
Published in International Conference on Machine Learning, 2025
Tracing the training origins of interpretable LLM units.
Recommended citation: Jianhui Chen, Yuzhang Luo, Liangming Pan. (2026). "Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units." ICML.
Download Paper
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
Published in Annual Meeting of the Association for Computational Linguistics, 2026
A survey on the mechanisms and methods of large reasoning models.
Recommended citation: Jianhui Chen, et al. (2026). "Large Reasoning Models: A Survey of Mechanisms and Methods." ACL.
Download Paper
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Published in International Conference on Machine Learning, 2026
Tracing the training origins of interpretable LLM units.
Recommended citation: Jianhui Chen, Yuzhang Luo, Liangming Pan. (2026). "Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units." ICML.
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.