Jiaao Chen

Orcid: 0009-0004-8425-2893

According to our database1, Jiaao Chen authored at least 34 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media.
CoRR, 2023

DyVal: Graph-informed Dynamic Evaluation of Large Language Models.
CoRR, 2023

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.
CoRR, 2023

Can Large Language Models Transform Computational Social Science?
CoRR, 2023

Where Does Your News Come From? Predicting Information Pathways in Social Media.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Parameter-Efficient Fine-Tuning Design Spaces.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mitigating Biases in Hate Speech Detection from A Causal Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Cheaper and Better Diffusion Language Model with Soft-Masked Noise.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unlearn What You Want to Forget: Efficient Unlearning for LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Compositional Data Augmentation for Abstractive Conversation Summarization.
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

Human-in-the-loop Abstractive Dialogue Summarization.
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

VALUE: Understanding Dialect Disparity in NLU.
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
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP.
CoRR, 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

Examining the Ordering of Rhetorical Strategies in Persuasive Requests.
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

Local Additivity Based Data Augmentation for Semi-supervised NER.
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

Incorporating Structured Commonsense Knowledge in Story Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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