| Finbert: A pretrained language model for financial communications Y Yang, MCS Uy, A Huang arXiv preprint arXiv:2006.08097, 2020 | 218 | 2020 |
| FinBERT: A large language model for extracting information from financial text AH Huang, H Wang, Y Yang Contemporary Accounting Research 40 (2), 806-841, 2023 | 211* | 2023 |
| Auto-debias: Debiasing masked language models with automated biased prompts Y Guo, Y Yang, A Abbasi Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 113 | 2022 |
| What you say and how you say it matters: Predicting stock volatility using verbal and vocal cues Y Qin, Y Yang Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 92 | 2019 |
| Efficient Methods for Incorporating Knowledge into Topic Models Y Yang, D Downey, J Boyd-Graber Proceeding of Empirical Methods in Natural Language Processing, 2015 | 74 | 2015 |
| Learning representations for weakly supervised natural language processing tasks F Huang, A Ahuja, D Downey, Y Yang, Y Guo, A Yates Computational Linguistics 40 (1), 85-120, 2014 | 65 | 2014 |
| Generating plausible counterfactual explanations for deep transformers in financial text classification L Yang, EM Kenny, TLJ Ng, Y Yang, B Smyth, R Dong arXiv preprint arXiv:2010.12512, 2020 | 64 | 2020 |
| Rumor detection on social media with event augmentations Z He, C Li, F Zhou, Y Yang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 56 | 2021 |
| Spam ain't as diverse as it seems: throttling OSN spam with templates underneath H Gao, Y Yang, K Bu, Y Chen, D Downey, K Lee, A Choudhary Proceedings of the 30th Annual Computer Security Applications Conference, 76-85, 2014 | 52 | 2014 |
| Benchmarking intersectional biases in NLP JP Lalor, Y Yang, K Smith, N Forsgren, A Abbasi Proceedings of the 2022 conference of the North American chapter of the …, 2022 | 47 | 2022 |
| Neural topic model with attention for supervised learning X Wang, Y Yang International conference on artificial intelligence and statistics, 1147-1156, 2020 | 41 | 2020 |
| Identifying market structure: A deep network representation learning of social engagement Y Yang, K Zhang, PK Kannan Journal of Marketing 86 (4), 37-56, 2022 | 40 | 2022 |
| Incorporating conditional random fields and active learning to improve sentiment identification K Zhang, Y Xie, Y Yang, A Sun, H Liu, A Choudhary Neural Networks 58, 60-67, 2014 | 40 | 2014 |
| Vec2link: Unifying heterogeneous data for social link prediction F Zhou, B Wu, Y Yang, G Trajcevski, K Zhang, T Zhong Proceedings of the 27th ACM International Conference on Information and …, 2018 | 31 | 2018 |
| Beating the artificial chaos: Fighting OSN spam using its own templates T Zhu, H Gao, Y Yang, K Bu, Y Chen, D Downey, K Lee, AN Choudhary IEEE/ACM Transactions on Networking 24 (6), 3856-3869, 2016 | 24 | 2016 |
| Efficient methods for inferring large sparse topic hierarchies D Downey, C Bhagavatula, Y Yang Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 18 | 2015 |
| User-directed non-disruptive topic model update for effective exploration of dynamic content Y Yang, S Pan, Y Song, J Lu, M Topkara Proceedings of the 20th International Conference on Intelligent User …, 2015 | 17 | 2015 |
| Investlm: A large language model for investment using financial domain instruction tuning Y Yang, Y Tang, KY Tam arXiv preprint arXiv:2309.13064, 2023 | 16 | 2023 |
| sdtm: A supervised bayesian deep topic model for text analytics Y Yang, K Zhang, Y Fan Information Systems Research 34 (1), 137-156, 2023 | 16 | 2023 |
| Causal-debias: Unifying debiasing in pretrained language models and fine-tuning via causal invariant learning F Zhou, Y Mao, L Yu, Y Yang, T Zhong Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 15 | 2023 |
Doug DowneyAllen Institute for AI and Northwestern UniversityDirección de correo verificada de eecs.northwestern.edu
