Hongyuan Mei - RankMe

62 papers A* 14A 2Journal 35Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning. CoRR Zhiwen You, Xi Chen, Aniket Vashishtha, Simon S. Du, Gabriel Erion-Barner, Hongyuan Mei, Hao Peng, Yue Guo
2026	J	`jnl`	MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games. CoRR Yunfei Xie, Kevin Wang, Bobby Cheng, Jianzhu Yao, Zhizhou Sha, Alexander Duffy, Yihan Xi, Hongyuan Mei, Cheston Tan, Chen Wei, Pramod Viswanath, Zhangyang Wang
2026	J	`jnl`	∇-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space. CoRR Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang
2025	—	`conf`	CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions. NAACL (Findings) Mourad Heddaya, Kyle MacMillan, Hongyuan Mei, Chenhao Tan, Anup Malani
2025	J	`jnl`	CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions. CoRR Mourad Heddaya, Kyle MacMillan, Anup Malani, Hongyuan Mei, Chenhao Tan
2025	J	`jnl`	Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models. CoRR Simeng Han, Stephen Xia, Grant Zhang, Howard Dai, Chen Liu, Lichang Chen, Hoang Huy Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy
2025	—	`conf`	Effects of Virtual Healing Space on Restoration in a Space Station Environment. HCI (12) Xiangyu Zhang, Hongyuan Mei
2025	J	`jnl`	Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code. CoRR Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan, Hao Peng
2025	J	`jnl`	FlowRL: Matching Reward Distributions for LLM Reasoning. CoRR Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin
2025	J	`jnl`	Generalization of RLVR Using Causal Reasoning as a Testbed. CoRR Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
2024	A*	`conf`	EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
2024	J	`jnl`	FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering. CoRR Siqiao Xue, Tingting Chen, Fan Zhou, Qingyang Dai, Zhixuan Chu, Hongyuan Mei
2024	A*	`conf`	GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. AAAI Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu
2024	J	`jnl`	GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. CoRR Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu, Siqiao Xue
2024	J	`jnl`	Hypothesis Generation with Large Language Models. CoRR Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan
2024	J	`jnl`	MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. CoRR Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew R. Walter, Hongyuan Mei
2024	A*	`conf`	Statler: State-Maintaining Language Models for Embodied Reasoning. ICRA Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
2024	A	`conf`	Transcrib3D: 3D Referring Expression Resolution through Large Language Models. IROS Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
2024	J	`jnl`	Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
2023	J	`jnl`	Autoregressive Modeling with Lookahead Attention. CoRR Li Du, Hongyuan Mei, Jason Eisner
2023	A*	`conf`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2023	J	`jnl`	Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions. CoRR Chen-Feng Tsai, Xiaochen Zhou, Sierra S. Liu, Jing Li, Mo Yu, Hongyuan Mei
2023	A	`conf`	Continuous-Time Decision Transformer for Healthcare Applications. AISTATS Zhiyue Zhang, Hongyuan Mei, Yanxun Xu
2023	J	`jnl`	EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
2023	A*	`conf`	Explicit Planning Helps Language Models in Logical Reasoning. EMNLP Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
2023	J	`jnl`	Explicit Planning Helps Language Models in Logical Reasoning. CoRR Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
2023	A*	`conf`	Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023	J	`jnl`	Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023	—	`conf`	Robustness of Learning from Task Instructions. ACL (Findings) Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei, Wenpeng Yin
2023	J	`jnl`	Statler: State-Maintaining Language Models for Embodied Reasoning. CoRR Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
2023	J	`jnl`	WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. CoRR Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Y. Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei
2022	J	`jnl`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2022	A*	`conf`	HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. NeurIPS Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei
2022	J	`jnl`	HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. CoRR Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei
2022	—	`conf`	Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. EMNLP (Findings) Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei
2022	J	`jnl`	Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. CoRR Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei
2022	A*	`conf`	Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. EMNLP Hongyu Zhao, Hao Tan, Hongyuan Mei
2022	J	`jnl`	Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. CoRR Hongyu Zhao, Hao Tan, Hongyuan Mei
2022	A*	`conf`	Transformer Embeddings of Irregularly Spaced Events and Their Participants. ICLR Hongyuan Mei, Chenghao Yang, Jason Eisner
2022	J	`jnl`	Transformer Embeddings of Irregularly Spaced Events and Their Participants. CoRR Chenghao Yang, Hongyuan Mei, Jason Eisner
2020	—	`conf`	A Theoretical and Practical Review on Multi-Sensory Interactive Space Design for Autistic Children. ICEBT Jie Shan, Hongyuan Mei
2020	—	`conf`	Function Design Strategies of University Campuses in Cold Regions of China Based on Analysis of Behavior Patterns. ICIEI Shuo Chen, Hongyuan Mei
2020	A*	`conf`	Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. ICML Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
2020	J	`jnl`	Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. CoRR Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
2020	A*	`conf`	Noise-Contrastive Estimation for Multivariate Point Processes. NeurIPS Hongyuan Mei, Tom Wan, Jason Eisner
2020	J	`jnl`	Noise-Contrastive Estimation for Multivariate Point Processes. CoRR Hongyuan Mei, Tom Wan, Jason Eisner
2019	A*	`conf`	Imputing Missing Events in Continuous-Time Event Streams. ICML Hongyuan Mei, Guanghui Qin, Jason Eisner
2019	J	`jnl`	Imputing Missing Events in Continuous-Time Event Streams. CoRR Hongyuan Mei, Guanghui Qin, Jason Eisner
2019	—	`conf`	On the Idiosyncrasies of the Mandarin Chinese Classifier System. NAACL-HLT (1) Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell
2019	J	`jnl`	On the Idiosyncrasies of the Mandarin Chinese Classifier System. CoRR Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell
2018	—	`conf`	Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018	J	`jnl`	Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018	—	`ed.`	Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018 Rep4NLP@ACL Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra
2017	A*	`conf`	Coherent Dialogue with Attention-Based Language Models. AAAI Hongyuan Mei, Mohit Bansal, Matthew R. Walter
2017	—	`conf`	The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. NIPS Hongyuan Mei, Jason Eisner
2016	J	`jnl`	Coherent Dialogue with Attention-based Language Models. CoRR Hongyuan Mei, Mohit Bansal, Matthew R. Walter
2016	A*	`conf`	Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. AAAI Hongyuan Mei, Mohit Bansal, Matthew R. Walter
2016	J	`jnl`	The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. CoRR Hongyuan Mei, Jason Eisner
2016	—	`conf`	What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. HLT-NAACL Hongyuan Mei, Mohit Bansal, Matthew R. Walter
2015	J	`jnl`	Accurate Vision-based Vehicle Localization using Satellite Imagery. CoRR Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter
2015	J	`jnl`	Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. CoRR Hongyuan Mei, Mohit Bansal, Matthew R. Walter
2015	J	`jnl`	What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. CoRR Hongyuan Mei, Mohit Bansal, Matthew R. Walter