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2020 – today
- 2024
[c15]Xinyu Yang, Weixin Liang, James Zou:
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace. ICLR 2024- [c14]Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML 2024 - [i24]Xinyu Yang, Weixin Liang, James Zou:
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face. CoRR abs/2401.13822 (2024) - [i23]Weixin Liang, Nazneen Rajani, Xinyu Yang, Ezinwanne Ozoani, Eric Wu, Yiqun Chen, Daniel Scott Smith, James Zou:
What's documented in AI? Systematic Analysis of 32K AI Model Cards. CoRR abs/2402.05160 (2024) - [i22]Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR abs/2403.07183 (2024) - [i21]Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, James Y. Zou:
Mapping the Increasing Use of LLMs in Scientific Papers. CoRR abs/2404.01268 (2024) - 2023
- [j5]Weixin Liang
, Mert Yüksekgönül, Yining Mao, Eric Wu, James Zou:
GPT detectors are biased against non-native English writers. Patterns 4(7): 100779 (2023) - [c13]Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou:
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations. ICML 2023: 20706-20724 - [c12]Kevin Fu Jiang, Weixin Liang, James Y. Zou, Yongchan Kwon:
OpenDataVal: a Unified Benchmark for Data Valuation. NeurIPS 2023 - [i20]Weixin Liang, Mert Yüksekgönül, Yining Mao, Eric Wu, James Zou:
GPT detectors are biased against non-native English writers. CoRR abs/2304.02819 (2023) - [i19]Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou:
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations. CoRR abs/2305.02995 (2023) - [i18]Kevin Fu Jiang, Weixin Liang, James Zou, Yongchan Kwon:
OpenDataVal: a Unified Benchmark for Data Valuation. CoRR abs/2306.10577 (2023) - [i17]Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Scott Smith, Yian Yin, Daniel A. McFarland, James Zou:
Can large language models provide useful feedback on research papers? A large-scale empirical analysis. CoRR abs/2310.01783 (2023) - 2022
- [j4]Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou:
Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 4(8): 669-677 (2022) - [j3]Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou:
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4(10): 904 (2022) - [j2]Weixin Liang, Scott Elrod, Daniel A. McFarland, James Zou:
Systematic analysis of 50 years of Stanford University technology transfer and commercialization. Patterns 3(9): 100584 (2022) - [c11]Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou:
SEAL: Interactive Tool for Systematic Error Analysis and Labeling. EMNLP (Demos) 2022: 359-370 - [c10]Weixin Liang, James Zou:
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts. ICLR 2022 - [c9]Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn:
Improving Out-of-Distribution Robustness via Selective Augmentation. ICML 2022: 25407-25437 - [c8]Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Y. Zou:
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. NeurIPS 2022 - [i16]Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn:
Improving Out-of-Distribution Robustness via Selective Augmentation. CoRR abs/2201.00299 (2022) - [i15]Weixin Liang, James Zou:
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts. CoRR abs/2202.06523 (2022) - [i14]Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Zou:
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. CoRR abs/2203.02053 (2022) - [i13]Roxana Daneshjou, Kailas Vodrahalli, Roberto A. Novoa, Melissa Jenkins, Weixin Liang, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou:
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR abs/2203.08807 (2022) - [i12]Zhiying Zhu, Weixin Liang, James Zou:
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language. CoRR abs/2206.15007 (2022) - [i11]Xinyi Zhao, Weixin Liang, James Zou:
Data Budgeting for Machine Learning. CoRR abs/2210.00987 (2022) - [i10]Nazneen Rajani, Weixin Liang, Lingjiao Chen, Meg Mitchell, James Zou:
SEAL : Interactive Tool for Systematic Error Analysis and Labeling. CoRR abs/2210.05839 (2022) - 2021
- [c7]Weixin Liang, Kaihui Liang, Zhou Yu:
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations. ACL/IJCNLP (1) 2021: 3652-3665 - [c6]Weixin Liang, James Zou:
Neural Group Testing to Accelerate Deep Learning. ISIT 2021: 958-963 - [i9]Weixin Liang, Yanhao Jiang, Zixuan Liu:
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering. CoRR abs/2104.10283 (2021) - [i8]Weixin Liang, Kaihui Liang, Zhou Yu:
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations. CoRR abs/2106.00162 (2021) - [i7]Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou:
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR abs/2111.08006 (2021) - 2020
- [c5]Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu:
MOSS: End-to-End Dialog System Framework with Modular Supervision. AAAI 2020: 8327-8335 - [c4]Weixin Liang, James Zou, Zhou Yu:
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation. ACL 2020: 1363-1374 - [c3]Weixin Liang, James Zou, Zhou Yu:
ALICE: Active Learning with Contrastive Natural Language Explanations. EMNLP (1) 2020: 4380-4391 - [i6]Weixin Liang, Zixuan Liu, Can Liu:
DAWSON: A Domain Adaptive Few Shot Generation Framework. CoRR abs/2001.00576 (2020) - [i5]Weixin Liang, James Zou, Zhou Yu:
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation. CoRR abs/2005.10716 (2020) - [i4]Weixin Liang, James Zou, Zhou Yu:
ALICE: Active Learning with Contrastive Natural Language Explanations. CoRR abs/2009.10259 (2020) - [i3]Weixin Liang, James Zou:
Neural Group Testing to Accelerate Deep Learning. CoRR abs/2011.10704 (2020) - [i2]Weixin Liang, Feiyang Niu, Aishwarya N. Reganti, Govind Thattai, Gökhan Tür:
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering. CoRR abs/2011.10731 (2020)
2010 – 2019
- 2019
- [j1]Zunlei Feng, Weixin Liang, Daocheng Tao, Li Sun, Anxiang Zeng, Mingli Song:
CU-Net: Component Unmixing Network for Textile Fiber Identification. Int. J. Comput. Vis. 127(10): 1443-1454 (2019) - [c2]Vikram Sharma Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, Simon Garcia De Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei Hwu:
DeepStore: In-Storage Acceleration for Intelligent Queries. MICRO 2019: 224-238 - [i1]Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu:
MOSS: End-to-End Dialog System Framework with Modular Supervision. CoRR abs/1909.05528 (2019) - 2018
- [c1]Weixin Liang, Kai Bu, Ke Li, Jinhong Li, Arya Tavakoli:
MemCloak: Practical Access Obfuscation for Untrusted Memory. ACSAC 2018: 187-197
Coauthor Index
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last updated on 2024-09-04 00:26 CEST by the dblp team
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