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2020 – today
- 2025
[i23]Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He:
M+: Extending MemoryLLM with Scalable Long-Term Memory. CoRR abs/2502.00592 (2025)- [i22]Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris:
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR abs/2502.09927 (2025) - 2024
- [c18]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI 2024: 9133-9141 - [c17]Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He:
Cognitive Bias in Decision-Making with LLMs. EMNLP (Findings) 2024: 12640-12653 - [c16]Jiarui Jin
, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW 2024: 1350-1361 - [i21]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR abs/2401.12553 (2024) - [i20]Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He:
LVCHAT: Facilitating Long Video Comprehension. CoRR abs/2402.12079 (2024) - [i19]Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris:
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR abs/2402.13449 (2024) - [i18]Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He:
Cognitive Bias in High-Stakes Decision-Making with LLMs. CoRR abs/2403.00811 (2024) - [i17]Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley:
Large Scale Knowledge Washing. CoRR abs/2405.16720 (2024) - [i16]Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville:
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. CoRR abs/2408.15549 (2024) - [i15]Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley:
Towards LifeSpan Cognitive Systems. CoRR abs/2409.13265 (2024) - 2023
- [c15]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. AAAI 2023: 14232-14240 - [c14]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) 2023: 8080-8098 - [c13]Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. ACL (1) 2023: 8506-8520 - [c12]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. EMNLP 2023: 8725-8744 - [c11]Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley:
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. EMNLP 2023: 9466-9471 - [c10]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV 2023: 3067-3077 - [i14]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. CoRR abs/2305.08300 (2023) - [i13]Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. CoRR abs/2305.17804 (2023) - [i12]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR abs/2308.03685 (2023) - [i11]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i10]Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley:
Farzi Data: Autoregressive Data Distillation. CoRR abs/2310.09983 (2023) - [i9]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. CoRR abs/2310.14088 (2023) - [i8]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. CoRR abs/2312.11554 (2023) - 2022
- [c9]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI 2022: 11530-11537 - [c8]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. EMNLP (Findings) 2022: 5854-5866 - [i7]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR abs/2203.03072 (2022) - [i6]Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley:
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. CoRR abs/2210.07440 (2022) - [i5]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. CoRR abs/2210.07455 (2022) - [i4]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR abs/2212.09864 (2022) - 2021
- [c7]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. EMNLP (Findings) 2021: 4009-4015 - [c6]Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. EMNLP (Findings) 2021: 4173-4181 - [i3]Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. CoRR abs/2109.11708 (2021) - [i2]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. CoRR abs/2109.12242 (2021)
2010 – 2019
- 2019
- [j1]Zexue He, Li Zhu, Minjie Li, Jinyao Li, Yiran Chen, Yanlin Luo:
Rapid and high-quality 3D fusion of heterogeneous CT and MRI data for the human brain. Sci. China Inf. Sci. 62(10): 204101:1-204101:3 (2019) - [c5]Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing:
Learning Robust Representations by Projecting Superficial Statistics Out. ICLR 2019 - [i1]Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing:
Learning Robust Representations by Projecting Superficial Statistics Out. CoRR abs/1903.06256 (2019) - 2018
- [c4]Jiaxin Mao, Yiqun Liu, Noriko Kando, Zexue He, Min Zhang, Shaoping Ma:
A Two-Stage Model for User's Examination Behavior in Mobile Search. CHIIR 2018: 273-276 - [c3]Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma:
Understanding Reading Attention Distribution during Relevance Judgement. CIKM 2018: 733-742 - [c2]Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang:
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP 2018: 1402-1411 - [c1]Xiaochuan Wang, Ning Su, Zexue He, Yiqun Liu, Shaoping Ma:
A Large-Scale Study of Mobile Search Examination Behavior. SIGIR 2018: 1129-1132
Coauthor Index
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