| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv preprint arXiv:2407.21783, 2024 | 3482 | 2024 |
| Stop clickbait: Detecting and preventing clickbaits in online news media A Chakraborty, B Paranjape, S Kakarla, N Ganguly 2016 IEEE/ACM international conference on advances in social networks …, 2016 | 587 | 2016 |
| Protonn: Compressed and accurate knn for resource-scarce devices C Gupta, AS Suggala, A Goyal, HV Simhadri, B Paranjape, A Kumar, ... International conference on machine learning, 1331-1340, 2017 | 220 | 2017 |
| Art: Automatic multi-step reasoning and tool-use for large language models B Paranjape, S Lundberg, S Singh, H Hajishirzi, L Zettlemoyer, ... arXiv preprint arXiv:2303.09014, 2023 | 202 | 2023 |
| An information bottleneck approach for controlling conciseness in rationale extraction B Paranjape, M Joshi, J Thickstun, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2005.00652, 2020 | 121 | 2020 |
| SCDV: Sparse Composite Document Vectors using soft clustering over distributional representations D Mekala, V Gupta, B Paranjape, H Karnick arXiv preprint arXiv:1612.06778, 2016 | 110 | 2016 |
| Entity projection via machine translation for cross-lingual NER A Jain, B Paranjape, ZC Lipton arXiv preprint arXiv:1909.05356, 2019 | 92 | 2019 |
| Prompting contrastive explanations for commonsense reasoning tasks B Paranjape, J Michael, M Ghazvininejad, L Zettlemoyer, H Hajishirzi arXiv preprint arXiv:2106.06823, 2021 | 81 | 2021 |
| CORE: A retrieve-then-edit framework for counterfactual data generation T Dixit, B Paranjape, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2210.04873, 2022 | 29 | 2022 |
| Fid-ex: Improving sequence-to-sequence models for extractive rationale generation K Lakhotia, B Paranjape, A Ghoshal, W Yih, Y Mehdad, S Iyer arXiv preprint arXiv:2012.15482, 2020 | 29 | 2020 |
| Retrieval-guided counterfactual generation for QA B Paranjape, M Lamm, I Tenney arXiv preprint arXiv:2110.07596, 2021 | 28 | 2021 |
| PuMer: Pruning and merging tokens for efficient vision language models Q Cao, B Paranjape, H Hajishirzi arXiv preprint arXiv:2305.17530, 2023 | 27 | 2023 |
| EASE: extractive-abstractive summarization end-to-end using the information bottleneck principle H Li, A Einolghozati, S Iyer, B Paranjape, Y Mehdad, S Gupta, ... Proceedings of the Third Workshop on New Frontiers in Summarization, 85-95, 2021 | 18 | 2021 |
| Predicting the temporal and social dynamics of curiosity in small group learning B Paranjape, Z Bai, J Cassell Artificial Intelligence in Education: 19th International Conference, AIED …, 2018 | 16 | 2018 |
| Ease: Extractive-abstractive summarization with explanations H Li, A Einolghozati, S Iyer, B Paranjape, Y Mehdad, S Gupta, ... arXiv preprint arXiv:2105.06982, 2021 | 14 | 2021 |
| Towards automatic generation of peer-targeted science talk in curiosity-evoking virtual agent B Paranjape, Y Ge, Z Bai, J Hammer, J Cassell Proceedings of the 18th international conference on intelligent virtual …, 2018 | 9 | 2018 |
| Clickbait: Detecting and preventing clickbaits in online news media. 2016 IEEE A Chakraborty, B Paranjape, S Kakarla, N Ganguly ACM International Conference on Advances in Social Networks Analysis and …, 2016 | 9 | 2016 |
| Husky: A unified, open-source language agent for multi-step reasoning J Kim, B Paranjape, T Khot, H Hajishirzi arXiv preprint arXiv:2406.06469, 2024 | 8 | 2024 |
| AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization B Paranjape, P Dasigi, V Srikumar, L Zettlemoyer, H Hajishirzi arXiv preprint arXiv:2212.00921, 2022 | 7 | 2022 |
| Quaser: Question answering with scalable extractive rationalization A Ghoshal, S Iyer, B Paranjape, K Lakhotia, SW Yih, Y Mehdad Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 7 | 2022 |
Hannaneh HajishirziUniversity of Washington; Allen AIEmail confirmado em cs.washington.edu