Jiaao Chen
Orcid: 0009-0004-8425-2893
According to our database1,
Jiaao Chen
authored at least 43 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Comput. Linguistics, March, 2024
Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review.
CoRR, 2024
CoRR, 2024
Federated Multi-Agent Deep Reinforcement Learning Approach for Resource Allocation in Platoon-Based NR-V2X.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
AoI-Aware Resource Allocation for C-V2X Networks via Multi-Agent Reinforcement Learning with Attention.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Trans. Assoc. Comput. Linguistics, 2023
From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Controllable Conversation Generation with Conversation Structures via Diffusion Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.
CoRR, 2022
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization.
CoRR, 2021
Continual Learning for Text Classification with Information Disentanglement Based Regularization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses.
CoRR, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Semi-supervised Models via Data Augmentation for Classifying Interactive Affective Responses.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020
2019
Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019