Is ChatGPT a general-purpose natural language processing task solver? C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga, D Yang EMNLP 2023, 2023 | 511 | 2023 |
Mixtext: Linguistically-informed interpolation of hidden space for semi-supervised text classification J Chen, Z Yang, D Yang ACL 2020, 2020 | 350 | 2020 |
Can large language models transform computational social science? C Ziems, W Held, O Shaikh, J Chen, Z Zhang, D Yang Computational Linguistics 50 (1), 237-291, 2024 | 225 | 2024 |
Multi-view sequence-to-sequence models with conversational structure for abstractive dialogue summarization J Chen, D Yang EMNLP 2020, 2020 | 139 | 2020 |
An empirical survey of data augmentation for limited data learning in nlp J Chen, D Tam, C Raffel, M Bansal, D Yang Transactions of the Association for Computational Linguistics 11, 191-211, 2023 | 124 | 2023 |
Structure-aware abstractive conversation summarization via discourse and action graphs J Chen, D Yang NAACL, 2021, 2021 | 83 | 2021 |
Let’s make your request more persuasive: Modeling persuasive strategies via semi-supervised neural nets on crowdfunding platforms D Yang, J Chen, Z Yang, D Jurafsky, E Hovy Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 77 | 2019 |
Incorporating structured commonsense knowledge in story completion J Chen, J Chen, Z Yu Proceedings of the AAAI Conference on Artificial Intelligence 33, 6244-6251, 2019 | 73 | 2019 |
When flue meets flang: Benchmarks and large pre-trained language model for financial domain RS Shah, K Chawla, D Eidnani, A Shah, W Du, S Chava, N Raman, ... EMNLP, 2022, 2022 | 67 | 2022 |
Continual learning for text classification with information disentanglement based regularization Y Huang, Y Zhang, J Chen, X Wang, D Yang NAACL, 2021, 2021 | 65 | 2021 |
Local additivity based data augmentation for semi-supervised NER J Chen, Z Wang, R Tian, Z Yang, D Yang EMNLP 2020, 2020 | 59 | 2020 |
Hiddencut: Simple data augmentation for natural language understanding with better generalizability J Chen, D Shen, W Chen, D Yang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 44* | 2021 |
Unlearn What You Want to Forget: Efficient Unlearning for LLMs J Chen, D Yang EMNLP 2023, 2023 | 40 | 2023 |
Parameter-Efficient Fine-Tuning Design Spaces J Chen, A Zhang, X Shi, M Li, A Smola, D Yang ICLR 2023, 2023 | 39 | 2023 |
Simple conversational data augmentation for semi-supervised abstractive dialogue summarization J Chen, D Yang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
VALUE: Understanding dialect disparity in NLU C Ziems, J Chen, C Harris, J Anderson, D Yang ACL Findings, 2022, 2022 | 27 | 2022 |
Semi-supervised models via data augmentationfor classifying interactive affective responses J Chen, Y Wu, D Yang AAAI Workshop on Affective Content Analysis, 2020, 2020 | 26 | 2020 |
Weakly-supervised hierarchical models for predicting persuasive strategies in good-faith textual requests J Chen, D Yang Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12648 …, 2021 | 16 | 2021 |
A cheaper and better diffusion language model with soft-masked noise J Chen, A Zhang, M Li, A Smola, D Yang EMNLP 2023, 2023 | 14 | 2023 |
Skills-in-context prompting: Unlocking compositionality in large language models J Chen, X Pan, D Yu, K Song, X Wang, D Yu, J Chen arXiv preprint arXiv:2308.00304, 2023 | 13 | 2023 |