| Roberta: A Robustly Optimized BERT Pretraining Approach Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ... arXiv preprint arXiv:1907.11692, 2019 | 10260 | 2019 |
| SpanBERT: Improving Pre-training by Representing and Predicting Spans M Joshi, D Chen, Y Liu, DS Weld, L Zettlemoyer, O Levy Transactions of the Association for Computational Linguistics, 2019 | 1806 | 2019 |
| TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension M Joshi, E Choi, DS Weld, L Zettlemoyer Association for Computational Linguistics (ACL), 2017 | 1529 | 2017 |
| BERT for Coreference Resolution: Baselines and Analysis M Joshi, O Levy, DS Weld, L Zettlemoyer Empirical Methods in Natural Language Processing (EMNLP), 2019 | 354 | 2019 |
| An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction B Paranjape, M Joshi, J Thickstun, H Hajishirzi, L Zettlemoyer Empirical Methods in Natural Language Processing (EMNLP), 2020 | 84 | 2020 |
| Cm3: A causal masked multimodal model of the internet A Aghajanyan, B Huang, C Ross, V Karpukhin, H Xu, N Goyal, D Okhonko, ... arXiv preprint arXiv:2201.07520, 2022 | 80 | 2022 |
| pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference M Joshi, E Choi, O Levy, D Weld, L Zettlemoyer North American Chapter of ACL (NAACL) 1, 3597–3608, 2019 | 54 | 2019 |
| Pix2struct: Screenshot parsing as pretraining for visual language understanding K Lee, M Joshi, IR Turc, H Hu, F Liu, JM Eisenschlos, U Khandelwal, ... International Conference on Machine Learning, 18893-18912, 2023 | 52 | 2023 |
| Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries M Joshi, U Sawant, S Chakrabarti Empirical Methods in Natural Language Processing (EMNLP), 2014 | 49 | 2014 |
| Improving passage retrieval with zero-shot question generation DS Sachan, M Lewis, M Joshi, A Aghajanyan, W Yih, J Pineau, ... arXiv preprint arXiv:2204.07496, 2022 | 45 | 2022 |
| Htlm: Hyper-text pre-training and prompting of language models A Aghajanyan, D Okhonko, M Lewis, M Joshi, H Xu, G Ghosh, ... arXiv preprint arXiv:2107.06955, 2021 | 45 | 2021 |
| Streamlining cross-document coreference resolution: Evaluation and modeling A Cattan, A Eirew, G Stanovsky, M Joshi, I Dagan arXiv preprint arXiv:2009.11032, 2020 | 30 | 2020 |
| Roberta: a robustly optimized BERT pretraining approach. CoRR abs Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ... arXiv preprint arXiv:1907.11692 465, 1907 | 29 | 1907 |
| PaLI-X: On Scaling up a Multilingual Vision and Language Model X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ... arXiv preprint arXiv:2305.18565, 2023 | 27 | 2023 |
| Cross-document coreference resolution over predicted mentions A Cattan, A Eirew, G Stanovsky, M Joshi, I Dagan arXiv preprint arXiv:2106.01210, 2021 | 23 | 2021 |
| Contextualized Representations Using Textual Encyclopedic Knowledge M Joshi, K Lee, Y Luan, K Toutanova arXiv preprint arXiv:2004.12006, 2020 | 22 | 2020 |
| Realistic evaluation principles for cross-document coreference resolution A Cattan, A Eirew, G Stanovsky, M Joshi, I Dagan arXiv preprint arXiv:2106.04192, 2021 | 17 | 2021 |
| FEWS: Large-scale, low-shot word sense disambiguation with the dictionary T Blevins, M Joshi, L Zettlemoyer arXiv preprint arXiv:2102.07983, 2021 | 16 | 2021 |
| DePlot: One-shot visual language reasoning by plot-to-table translation F Liu, JM Eisenschlos, F Piccinno, S Krichene, C Pang, K Lee, M Joshi, ... arXiv preprint arXiv:2212.10505, 2022 | 14 | 2022 |
| Object-Oriented Representation and Hierarchical Reinforcement Learning in Infinite Mario M Joshi, R Khobragade, S Sarda, U Deshpande, S Mohan 24th IEEE International Conference on Tools with Artificial Intelligence, 2012 | 14 | 2012 |
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
