| Unsupervised domain adaptation of contextualized embeddings for sequence labeling X Han, J Eisenstein arXiv preprint arXiv:1904.02817, 2019 | 155* | 2019 |
| Explaining black box predictions and unveiling data artifacts through influence functions X Han, BC Wallace, Y Tsvetkov arXiv preprint arXiv:2005.06676, 2020 | 115 | 2020 |
| Interactional stancetaking in online forums SF Kiesling, U Pavalanathan, J Fitzpatrick, X Han, J Eisenstein Computational Linguistics 44 (4), 683-718, 2018 | 59 | 2018 |
| Fortifying toxic speech detectors against veiled toxicity X Han, Y Tsvetkov arXiv preprint arXiv:2010.03154, 2020 | 51 | 2020 |
| Predicting the suitability of service animals using instrumented dog toys C Byrne, J Zuerndorfer, L Freil, X Han, A Sirolly, S Cilliland, T Starner, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 22 | 2018 |
| Influence tuning: Demoting spurious correlations via instance attribution and instance-driven updates X Han, Y Tsvetkov arXiv preprint arXiv:2110.03212, 2021 | 20 | 2021 |
| Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm U Pavalanathan, X Han, J Eisenstein Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-23, 2018 | 19 | 2018 |
| No permanent friends or enemies: Tracking relationships between nations from news X Han, E Choi, C Tan arXiv preprint arXiv:1904.08950, 2019 | 12 | 2019 |
| Ssd-lm: Semi-autoregressive simplex-based diffusion language model for text generation and modular control X Han, S Kumar, Y Tsvetkov arXiv preprint arXiv:2210.17432, 2022 | 9 | 2022 |
| Technology for working dogs MM Jackson, C Byrne, L Freil, G Valentin, J Zuerndorfer, C Zeagler, ... Proceedings of the Fifth International Conference on Animal-Computer …, 2018 | 8 | 2018 |
| Orca: Interpreting prompted language models via locating supporting data evidence in the ocean of pretraining data X Han, Y Tsvetkov arXiv preprint arXiv:2205.12600, 2022 | 7 | 2022 |
| Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? W Shi, X Han, H Gonen, A Holtzman, Y Tsvetkov, L Zettlemoyer arXiv preprint arXiv:2212.10539, 2022 | 2 | 2022 |
| SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models X Han, S Kumar, Y Tsvetkov, M Ghazvininejad arXiv preprint arXiv:2305.14771, 2023 | | 2023 |
| Trusting Your Evidence: Hallucinate Less with Context-aware Decoding W Shi, X Han, M Lewis, Y Tsvetkov, L Zettlemoyer, SW Yih arXiv preprint arXiv:2305.14739, 2023 | | 2023 |
| Can Language Models Solve Graph Problems in Natural Language? H Wang, S Feng, T He, Z Tan, X Han, Y Tsvetkov arXiv preprint arXiv:2305.10037, 2023 | | 2023 |
| ORCA: Interpreting Prompted Language Models via Locating Supporting Evidence in the Ocean of Pretraining Data X Han, Y Tsvetkov | | 2023 |
| Unsupervised domain adaptation of contextualized embeddings for sequence labeling H Xiaochuang, E Jacob Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | | 2019 |
Yulia TsvetkovUniversity of WashingtonVerified email at cs.washington.edu
