| 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 | 683 | 2023 |
| 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 | 410 | 2024 |
| Mixtext: Linguistically-informed interpolation of hidden space for semi-supervised text classification J Chen, Z Yang, D Yang ACL 2020, 2020 | 402 | 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 | 178 | 2023 |
| Multi-view sequence-to-sequence models with conversational structure for abstractive dialogue summarization J Chen, D Yang EMNLP 2020, 2020 | 152 | 2020 |
| Unlearn What You Want to Forget: Efficient Unlearning for LLMs J Chen, D Yang EMNLP 2023, 2023 | 102 | 2023 |
| 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 | 99 | 2022 |
| Structure-aware abstractive conversation summarization via discourse and action graphs J Chen, D Yang NAACL, 2021, 2021 | 94 | 2021 |
| Continual learning for text classification with information disentanglement based regularization Y Huang, Y Zhang, J Chen, X Wang, D Yang NAACL, 2021, 2021 | 87 | 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 | 83 | 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 | 77 | 2019 |
| Local additivity based data augmentation for semi-supervised NER J Chen, Z Wang, R Tian, Z Yang, D Yang EMNLP 2020, 2020 | 66 | 2020 |
| Parameter-Efficient Fine-Tuning Design Spaces J Chen, A Zhang, X Shi, M Li, A Smola, D Yang ICLR 2023, 2023 | 58 | 2023 |
| 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 | 51* | 2021 |
| VALUE: Understanding dialect disparity in NLU C Ziems, J Chen, C Harris, J Anderson, D Yang ACL Findings, 2022, 2022 | 40 | 2022 |
| 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 | 39 | 2021 |
| Semi-supervised models via data augmentationfor classifying interactive affective responses J Chen, Y Wu, D Yang AAAI Workshop on Affective Content Analysis, 2020, 2020 | 30 | 2020 |
| 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 | 22 | 2023 |
| Dyval: Graph-informed dynamic evaluation of large language models K Zhu, J Chen, J Wang, NZ Gong, D Yang, X Xie ICLR 2024, 2023 | 21 | 2023 |
| A cheaper and better diffusion language model with soft-masked noise J Chen, A Zhang, M Li, A Smola, D Yang EMNLP 2023, 2023 | 17 | 2023 |
Diyi YangStanford UniversityVerified email at stanford.edu
