Yuxin Xiao

20 papers A* 3Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
KScope: A Framework for Characterizing the Knowledge Status of Language Models.
CoRR
Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle S. Bitterman, Thomas Hartvigsen, Marzyeh Ghassemi
2025 J jnl
MedBrowseComp: Benchmarking Medical Deep Research and Computer Use.
CoRR
Shan Chen, Pedro Moreira, Yuxin Xiao, Sam Schmidgall, Jeremy L. Warner, Hugo J. W. L. Aerts, Thomas Hartvigsen, Jack Gallifant, Danielle S. Bitterman
2025 A* conf
Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions.
ICML
Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi
2025 J jnl
Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions.
CoRR
Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi
2025 J jnl
When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment.
CoRR
Yuxin Xiao, Sana Tonekaboni, Walter Gerych, Vinith M. Suriyakumar, Marzyeh Ghassemi
2024 A* conf
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control.
NeurIPS
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
2024 J jnl
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control.
CoRR
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
2024 J jnl
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe.
CoRR
Yuxin Xiao, Shujian Zhang, Wenxuan Zhou, Marzyeh Ghassemi, Sanqiang Zhao
2023 — conf
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification.
FAccT
Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi
2023 J jnl
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification.
CoRR
Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi
2022 J jnl
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.
IEEE Trans. Knowl. Data Eng.
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2022 — conf
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.
NAACL-HLT
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
2022 — conf
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis.
EMNLP (Findings)
Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency
2022 J jnl
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis.
CoRR
Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency
2021 J jnl
Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation.
CoRR
Yuxin Xiao, Eric P. Xing, Willie Neiswanger
2021 J jnl
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.
CoRR
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
2020 A* conf
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks.
WWW
Yuxin Xiao, Adit Krishnan, Hari Sundaram
2020 J jnl
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks.
CoRR
Yuxin Xiao, Adit Krishnan, Hari Sundaram
2020 J jnl
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2019 — conf
Non-local Attention Learning on Large Heterogeneous Information Networks.
IEEE BigData
Yuxin Xiao, Zecheng Zhang, Carl Yang, ChengXiang Zhai