Hongyuan Mei

According to our database1, Hongyuan Mei authored at least 32 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering.
CoRR, 2024

Transcrib3D: 3D Referring Expression Resolution through Large Language Models.
CoRR, 2024

Hypothesis Generation with Large Language Models.
CoRR, 2024

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models.
CoRR, 2024

Statler: State-Maintaining Language Models for Embodied Reasoning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EasyTPP: Towards Open Benchmarking Temporal Point Processes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
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.
CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.
CoRR, 2023

Autoregressive Modeling with Lookahead Attention.
CoRR, 2023

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions.
CoRR, 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Continuous-Time Decision Transformer for Healthcare Applications.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Robustness of Learning from Task Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.
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.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2020
Noise-Contrastive Estimation for Multivariate Point Processes.
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.
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.
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.
Proceedings of the ICEBT 2020, 2020

2019
On the Idiosyncrasies of the Mandarin Chinese Classifier System.
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.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process.
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.
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.
Proceedings of the NAACL HLT 2016, 2016

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Accurate Vision-based Vehicle Localization using Satellite Imagery.
CoRR, 2015


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