| Examining gender bias in languages with grammatical gender P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang arXiv preprint arXiv:1909.02224, 2019 | 99* | 2019 |
| Embedding uncertain knowledge graphs X Chen, M Chen, W Shi, Y Sun, C Zaniolo Proceedings of the AAAI conference on artificial intelligence 33 (01), 3363-3370, 2019 | 75 | 2019 |
| On tractable representations of binary neural networks W Shi, A Shih, A Darwiche, A Choi arXiv preprint arXiv:2004.02082, 2020 | 37 | 2020 |
| Retrofitting contextualized word embeddings with paraphrases W Shi, M Chen, P Zhou, KW Chang arXiv preprint arXiv:1909.09700, 2019 | 26 | 2019 |
| Compiling neural networks into tractable Boolean circuits A Choi, W Shi, A Shih, A Darwiche intelligence, 2017 | 24 | 2017 |
| Cross-lingual entity alignment with incidental supervision M Chen, W Shi, B Zhou, D Roth arXiv preprint arXiv:2005.00171, 2020 | 23 | 2020 |
| Selective annotation makes language models better few-shot learners H Su, J Kasai, CH Wu, W Shi, T Wang, J Xin, R Zhang, M Ostendorf, ... arXiv preprint arXiv:2209.01975, 2022 | 10 | 2022 |
| Nearest neighbor zero-shot inference W Shi, J Michael, S Gururangan, L Zettlemoyer arXiv preprint arXiv:2205.13792, 2022 | 8 | 2022 |
| Learning bilingual word embeddings using lexical definitions W Shi, M Chen, Y Tian, KW Chang arXiv preprint arXiv:1906.08939, 2019 | 8 | 2019 |
| Design challenges in low-resource cross-lingual entity linking X Fu, W Shi, X Yu, Z Zhao, D Roth arXiv preprint arXiv:2005.00692, 2020 | 7 | 2020 |
| Karthikeyan K, Jamaal Hay, Michael Shur, Jennifer Sheffield, and Dan Roth. 2019. University of Pennsylvania LoReHLT 2019 Submission S Mayhew, T Tsygankova, F Marini, Z Wang, J Lee, X Yu, X Fu, W Shi, ... Technical report, 2019 | 6 | 2019 |
| DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions W Shi, M Joshi, L Zettlemoyer arXiv preprint arXiv:2106.05365, 2021 | 4* | 2021 |
| Analyzing and Mitigating Gender Bias in Languages with Grammatical Gender and Bilingual Word Embeddings P Zhou, W Shi, J Zhao, KH Huang, M Chen, KW Chang ACL: Montréal, QC, Canada, 2019 | 4 | 2019 |
| Nonparametric Masked Language Modeling S Min, W Shi, M Lewis, X Chen, W Yih, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2212.01349, 2022 | 1 | 2022 |
| Retrieval-Augmented Multimodal Language Modeling M Yasunaga, A Aghajanyan, W Shi, R James, J Leskovec, P Liang, ... arXiv preprint arXiv:2211.12561, 2022 | 1 | 2022 |
| RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering V Zhong, W Shi, W Yih, L Zettlemoyer arXiv preprint arXiv:2210.14353, 2022 | 1 | 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 | | 2022 |
| One Embedder, Any Task: Instruction-Finetuned Text Embeddings H Su, J Kasai, Y Wang, Y Hu, M Ostendorf, W Yih, NA Smith, ... arXiv preprint arXiv:2212.09741, 2022 | | 2022 |
| PromptCap: Prompt-Guided Task-Aware Image Captioning Y Hu, H Hua, Z Yang, W Shi, NA Smith, J Luo arXiv preprint arXiv:2211.09699, 2022 | | 2022 |
