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2020 – today
- 2025
[c7]Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi:
Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions. ICML 2025- [i12]Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi:
Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions. CoRR abs/2502.04322 (2025) - [i11]Shan Chen, Pedro Moreira, Yuxin Xiao, Sam Schmidgall, Jeremy L. Warner, Hugo J. W. L. Aerts, Thomas Hartvigsen, Jack Gallifant, Danielle S. Bitterman:
MedBrowseComp: Benchmarking Medical Deep Research and Computer Use. CoRR abs/2505.14963 (2025) - [i10]Yuxin Xiao, Sana Tonekaboni, Walter Gerych, Vinith M. Suriyakumar, Marzyeh Ghassemi:
When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment. CoRR abs/2506.07452 (2025) - [i9]Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle S. Bitterman, Thomas Hartvigsen, Marzyeh Ghassemi:
KScope: A Framework for Characterizing the Knowledge Status of Language Models. CoRR abs/2506.07458 (2025) - 2024
- [c6]Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye:
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control. NeurIPS 2024 - [i8]Yuxin Xiao, Shujian Zhang, Wenxuan Zhou, Marzyeh Ghassemi, Sanqiang Zhao:
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. CoRR abs/2410.05248 (2024) - [i7]Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye:
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control. CoRR abs/2411.02461 (2024) - 2023
- [c5]Yuxin Xiao
, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi:
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification. FAccT 2023: 123-137 - [i6]Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi:
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification. CoRR abs/2305.11348 (2023) - 2022
- [j1]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34(10): 4854-4873 (2022) - [c4]Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency:
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. EMNLP (Findings) 2022: 7273-7284 - [c3]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT 2022: 2395-2409 - [i5]Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency:
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. CoRR abs/2210.04714 (2022) - 2021
- [i4]Yuxin Xiao, Eric P. Xing, Willie Neiswanger:
Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation. CoRR abs/2106.09179 (2021) - [i3]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR abs/2109.12093 (2021) - 2020
- [c2]Yuxin Xiao, Adit Krishnan, Hari Sundaram:
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. WWW 2020: 2078-2088 - [i2]Yuxin Xiao, Adit Krishnan, Hari Sundaram:
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. CoRR abs/2003.03670 (2020) - [i1]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020)
2010 – 2019
- 2019
- [c1]Yuxin Xiao, Zecheng Zhang, Carl Yang, Chengxiang Zhai:
Non-local Attention Learning on Large Heterogeneous Information Networks. IEEE BigData 2019: 978-987
Coauthor Index
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