| Hierarchical attention networks for document classification Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 6257 | 2016 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1399 | 2022 |
| Is ChatGPT a general-purpose natural language processing task solver? C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga, D Yang arXiv preprint arXiv:2302.06476, 2023 | 761 | 2023 |
| Turn on, tune in, drop out: Anticipating student dropouts in massive open online courses D Yang, T Sinha, D Adamson, CP Rosé Proceedings of the 2013 NIPS Data-driven education workshop 11, 14, 2013 | 624 | 2013 |
| 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 | 533 | 2024 |
| Sentiment Analysis in MOOC Discussion Forums: What does it tell us? M Wen, D Yang, C Rose Educational data mining 2014, 2014 | 518 | 2014 |
| Mixtext: Linguistically-informed interpolation of hidden space for semi-supervised text classification J Chen, Z Yang, D Yang arXiv preprint arXiv:2004.12239, 2020 | 420 | 2020 |
| That’s so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using# petpeeve tweets WY Wang, D Yang Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 420 | 2015 |
| ToTTo: A controlled table-to-text generation dataset AP Parikh, X Wang, S Gehrmann, M Faruqui, B Dhingra, D Yang, D Das arXiv preprint arXiv:2004.14373, 2020 | 380 | 2020 |
| Causal inference in natural language processing: Estimation, prediction, interpretation and beyond A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ... Transactions of the Association for Computational Linguistics 10, 1138-1158, 2022 | 275 | 2022 |
| Humor Recognition and Humor Anchor Extraction D Yang, A Lavie, C Dyer, E Hovy EMNLP, 2015 | 263 | 2015 |
| Latent hatred: A benchmark for understanding implicit hate speech M ElSherief, C Ziems, D Muchlinski, V Anupindi, J Seybolt, ... arXiv preprint arXiv:2109.05322, 2021 | 234 | 2021 |
| How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms Y Zeng, H Lin, J Zhang, D Yang, R Jia, W Shi Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 231 | 2024 |
| Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: Human language technologies R Mihalcea, J Chai, A Sarkar Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 230 | 2015 |
| Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains. X Wang, D Yang, M Wen, K Koedinger, CP Rosé International educational data mining society, 2015 | 228 | 2015 |
| Using large language models in psychology D Demszky, D Yang, DS Yeager, CJ Bryan, M Clapper, S Chandhok, ... Nature Reviews Psychology 2 (11), 688-701, 2023 | 219 | 2023 |
| Llavar: Enhanced visual instruction tuning for text-rich image understanding Y Zhang, R Zhang, J Gu, Y Zhou, N Lipka, D Yang, T Sun arXiv preprint arXiv:2306.17107, 2023 | 208 | 2023 |
| 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 | 202 | 2023 |
| The Importance of Modeling Social Factors of Language: Theory and Practice D Hovy, D Yang NAACL, 2021 | 194 | 2021 |
| Automatically neutralizing subjective bias in text R Pryzant, RD Martinez, N Dass, S Kurohashi, D Jurafsky, D Yang Proceedings of the aaai conference on artificial intelligence 34 (01), 480-489, 2020 | 193 | 2020 |
Jiaao ChenGeorgia Institute of TechnologyBestätigte E-Mail-Adresse bei gatech.edu
