Hongyuan Mei

According to our database, Hongyuan Mei authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models.

Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew R. Walter, Hongyuan Mei

CoRR, 2024

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine.

Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei

CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.

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

CoRR, 2023

Statler: State-Maintaining Language Models for Embodied Reasoning.

Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter

CoRR, 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.

Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

CoRR, 2023

Autoregressive Modeling with Lookahead Attention.

Li Du, Hongyuan Mei, Jason Eisner

CoRR, 2023

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions.

Chen-Feng Tsai, Xiaochen Zhou, Sierra S. Liu, Jing Li, Mo Yu, Hongyuan Mei

CoRR, 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.

Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explicit Planning Helps Language Models in Logical Reasoning.

Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Continuous-Time Decision Transformer for Healthcare Applications.

Zhiyue Zhang, Hongyuan Mei, Yanxun Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Robustness of Learning from Task Instructions.

Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei, Wenpeng Yin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.

Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences.

Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transformer Embeddings of Irregularly Spaced Events and Their Participants.

Hongyuan Mei, Chenghao Yang, Jason Eisner

Proceedings of the Tenth International Conference on Learning Representations, 2022

Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters.

Hongyu Zhao, Hao Tan, Hongyuan Mei

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning.

Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2020

Noise-Contrastive Estimation for Multivariate Point Processes.

Hongyuan Mei, Tom Wan, Jason Eisner

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification.

Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner

Proceedings of the 37th International Conference on Machine Learning, 2020

Function Design Strategies of University Campuses in Cold Regions of China Based on Analysis of Behavior Patterns.

Shuo Chen, Hongyuan Mei

Proceedings of the ICIEI 2020: The 5th International Conference on Information and Education Innovations, 2020

A Theoretical and Practical Review on Multi-Sensory Interactive Space Design for Autistic Children.

Jie Shan, Hongyuan Mei

Proceedings of the ICEBT 2020, 2020

2019

On the Idiosyncrasies of the Mandarin Chinese Classifier System.

Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Imputing Missing Events in Continuous-Time Event Streams.

Hongyuan Mei, Guanghui Qin, Jason Eisner

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction.

Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

2017

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process.

Hongyuan Mei, Jason Eisner

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Coherent Dialogue with Attention-Based Language Models.

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment.

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

Proceedings of the NAACL HLT 2016, 2016

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences.

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Accurate Vision-based Vehicle Localization using Satellite Imagery.

Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter

CoRR, 2015