Zexue He - RankMe

52 papers A* 11A 1B 1Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Isaac Sanchez, Ben Wiesel, Shafiq Abedin, Amit Alfassy, Eli Schwartz, Daniel Caraballo, Yagmur Gizem Cinar, Florian Scheidegger, Steven I. Ross, Daniel Karl I. Weidele, Hang Hua, Ekaterina Arutyunova, Roei Herzig, Zexue He, Zihan Wang, Xinyue Yu, Yunfei Zhao, Sicong Jiang, Minghao Liu, Qunshu Lin, Peter W. J. Staar, Luis A. Lastras, Aude Oliva, Rogério Feris
2026	J	`jnl`	MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks. CoRR Zexue He, Yu Wang, Churan Zhi, Yuanzhe Hu, Tzu-Ping Chen, Lang Yin, Ze Chen, Tong Arthur Wu, Siru Ouyang, Zihan Wang, Jiaxin Pei, Julian J. McAuley, Yejin Choi, Alex Pentland
2026	J	`jnl`	SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs. CoRR Niccolò Avogaro, Nayanika Debnath, Li Mi, Thomas Frick, Junling Wang, Zexue He, Hang Hua, Konrad Schindler, Mattia Rigotti
2025	J	`jnl`	BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization. CoRR Iris Xu, Guangtao Zeng, Zexue He, Charles Jin, Aldo Pareja, Dan Gutfreund, Chuang Gan, Zhang-Wei Hong
2025	J	`jnl`	BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses. CoRR Xin Xu, Xunzhi He, Churan Zhi, Ruizhe Chen, Julian J. McAuley, Zexue He
2025	J	`jnl`	ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Zexue He, Shafiq Abedin, Jennifer Sun, Ben Wiesel, Eli Schwartz, Ahmed Nassar, Bo Wu, Assaf Arbelle, Aude Oliva, Dan Gutfreund, Leonid Karlinsky, Rogério Feris
2025	J	`jnl`	Composition-Grounded Instruction Synthesis for Visual Reasoning. CoRR Xinyi Gu, Jiayuan Mao, Zhang-Wei Hong, Zhuoran Yu, Pengyuan Li, Dhiraj Joshi, Rogério Feris, Zexue He
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR 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
2025	A*	`conf`	Large Scale Knowledge Washing. ICLR Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
2025	A*	`conf`	M+: Extending MemoryLLM with Scalable Long-Term Memory. ICML Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025	J	`jnl`	M+: Extending MemoryLLM with Scalable Long-Term Memory. CoRR Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025	J	`jnl`	Towards LifeSpan Cognitive Systems. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris
2024	—	`conf`	Cognitive Bias in Decision-Making with LLMs. EMNLP (Findings) Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He
2024	J	`jnl`	Cognitive Bias in High-Stakes Decision-Making with LLMs. CoRR Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He
2024	A*	`conf`	Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
2024	A*	`conf`	InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
2024	J	`jnl`	InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
2024	J	`jnl`	LVCHAT: Facilitating Long Video Comprehension. CoRR Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He
2024	J	`jnl`	Large Scale Knowledge Washing. CoRR Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
2024	J	`jnl`	Towards LifeSpan Cognitive Systems. CoRR 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
2024	J	`jnl`	WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. CoRR Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
2023	A*	`conf`	"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. AAAI Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023	J	`jnl`	"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. CoRR Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023	J	`jnl`	Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. CoRR Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
2023	J	`jnl`	Farzi Data: Autoregressive Data Distillation. CoRR Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
2023	A*	`conf`	InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. EMNLP Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley
2023	A*	`conf`	Learning Concise and Descriptive Attributes for Visual Recognition. ICCV An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley
2023	J	`jnl`	Learning Concise and Descriptive Attributes for Visual Recognition. CoRR An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley
2023	A*	`conf`	MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. EMNLP Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023	J	`jnl`	MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. CoRR Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023	J	`jnl`	Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley
2023	—	`conf`	Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2023	—	`conf`	Targeted Data Generation: Finding and Fixing Model Weaknesses. ACL (1) Zexue He, Marco Túlio Ribeiro, Fereshte Khani
2023	J	`jnl`	Targeted Data Generation: Finding and Fixing Model Weaknesses. CoRR Zexue He, Marco Túlio Ribeiro, Fereshte Khani
2022	—	`conf`	Controlling Bias Exposure for Fair Interpretable Predictions. EMNLP (Findings) Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder
2022	J	`jnl`	Controlling Bias Exposure for Fair Interpretable Predictions. CoRR Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder
2022	J	`jnl`	InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. CoRR Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley
2022	A*	`conf`	Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022	J	`jnl`	Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022	J	`jnl`	Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2021	—	`conf`	Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. EMNLP (Findings) Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley
2021	J	`jnl`	Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. CoRR Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley
2021	—	`conf`	Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. EMNLP (Findings) An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2021	J	`jnl`	Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. CoRR An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2019	—	`conf`	Learning Robust Representations by Projecting Superficial Statistics Out. ICLR Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing
2019	J	`jnl`	Learning Robust Representations by Projecting Superficial Statistics Out. CoRR Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing
2019	J	`jnl`	Rapid and high-quality 3D fusion of heterogeneous CT and MRI data for the human brain. Sci. China Inf. Sci. Zexue He, Li Zhu, Minjie Li, Jinyao Li, Yiran Chen, Yanlin Luo
2018	A*	`conf`	A Large-Scale Study of Mobile Search Examination Behavior. SIGIR Xiaochuan Wang, Ning Su, Zexue He, Yiqun Liu, Shaoping Ma
2018	B	`conf`	A Two-Stage Model for User's Examination Behavior in Mobile Search. CHIIR Jiaxin Mao, Yiqun Liu, Noriko Kando, Zexue He, Min Zhang, Shaoping Ma
2018	A*	`conf`	Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang
2018	A	`conf`	Understanding Reading Attention Distribution during Relevance Judgement. CIKM Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma