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Ye Yuan
Institutions:
Beijing Institute of Technology,
University of Toronto,
Peking University,
Mila - Quebec Artificial Intelligence Institute,
McGill University
Observed institutions:
Beijing Institute of Technology,
University of Toronto,
Peking University,
Mila - Quebec Artificial Intelligence Institute,
McGill University
OpenAlex ID:
A5139750890
LLM Safety From Within: Detecting Harmful Content with Internal Representations
2026
·
Difan Jiao
, Yilun Liu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection
2026
·
Zhiwei Liu
, Yupeng Cao
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
·
1
PDF
DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search
2026
·
Guangming Qin
, Yuhao Deng
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
FACTS: Table Summarization via Offline Template Generation with Agentic Workflows
2026
·
Ye Yuan
, Mohammad Amin Shabani
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
2026
·
Weixu Zhang
, Ye Yuan
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4
2026
·
Chengwu Liu
, Yichun Yin
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations
2026
·
Pengqi Li
, Lizhong Ding
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
2026
·
Linfeng Du
, Ye Yuan
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
2026
·
Yiyang Gu
, Junwei Yang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
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Works count:
9
Citation count:
2
H-index:
1
I10-index:
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