Combating Adversarial Misspellings with Robust Word Recognition D Pruthi, B Dhingra, ZC Lipton ACL 2019, 2019 | 319 | 2019 |
Learning to Deceive with Attention-Based Explanations D Pruthi, M Gupta, B Dhingra, G Neubig, ZC Lipton ACL 2020, 2020 | 212 | 2020 |
SPINE: SParse Interpretable Neural Embeddings A Subramanian, D Pruthi, H Jhamtani, T Berg-Kirkpatrick, E Hovy AAAI 2018, 2017 | 130 | 2017 |
compare-mt: A Tool for Holistic Comparison of Language Generation Systems G Neubig, ZY Dou, J Hu, P Michel, D Pruthi, X Wang NAACL 2019 (System Demonstrations), 2019 | 125 | 2019 |
Evaluating Explanations: How much do explanations from the teacher aid students? D Pruthi, R Bansal, B Dhingra, LB Soares, M Collins, ZC Lipton, G Neubig, ... TACL 2021, 2020 | 101 | 2020 |
Simple and Effective Semi-Supervised Question Answering B Dhingra, D Pruthi, D Rajagopal NAACL 2018, 2018 | 82 | 2018 |
NeuSpell: A Neural Spelling Correction Toolkit SM Jayanthi, D Pruthi, G Neubig EMNLP 2020 (System Demonstrations), 2020 | 75 | 2020 |
Do Context-Aware Translation Models Pay the Right Attention? K Yin, P Fernandes, D Pruthi, A Chaudhary, AFT Martins, G Neubig ACL 2021, 2021 | 33 | 2021 |
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations S Arora, D Pruthi, N Sadeh, WW Cohen, ZC Lipton, G Neubig AAAI 2022, 2021 | 32 | 2021 |
Weakly-and Semi-supervised Evidence Extraction D Pruthi, B Dhingra, G Neubig, ZC Lipton Findings of EMNLP 2020, 2020 | 24 | 2020 |
Learning to Scaffold: Optimizing Model Explanations for Teaching P Fernandes, M Treviso, D Pruthi, AFT Martins, G Neubig NeurIPS 2022, 2022 | 17 | 2022 |
Discovering response-eliciting factors in social question answering: A reddit inspired study D Pruthi, Y Dahiya, P Talukdar ICWSM 2016, 2016 | 13* | 2016 |
Maxxyt: An autonomous wearable device for real-time tracking of a wide range of exercises D Pruthi, A Jain, KM Jatavallabhula, R Nalwaya, P Teja UKSim 2015, 137-141, 2015 | 13 | 2015 |
Inspecting the Geographical Representativeness of Images from Text-to-Image Models A Basu, RV Babu, D Pruthi International Conference on Computer Vision (ICCV 2023), 2023 | 12 | 2023 |
Model-tuning Via Prompts Makes NLP Models Adversarially Robust M Raman, P Maini, JZ Kolter, ZC Lipton, D Pruthi EMNLP 2023, 2023 | 7 | 2023 |
Assisting Human Decisions in Document Matching JS Kim, V Chen, D Pruthi, NB Shah, A Talwalkar Transactions on Machine Learning Research (TMLR 2023), 2023 | 5 | 2023 |
Why and when should you pool? Analyzing Pooling in Recurrent Architectures P Maini, K Kolluru, D Pruthi Findings of EMNLP 2020, 2020 | 4 | 2020 |
Measures of Information Reflect Memorization Patterns R Bansal, D Pruthi, Y Belinkov Advances in Neural Information Processing Systems 35, 18472-18486, 2022 | 3 | 2022 |
Performance Trade-offs of Watermarking Large Language Models A Ajith, S Singh, D Pruthi arXiv preprint arXiv:2311.09816, 2023 | 2 | 2023 |
Goodhart's Law Applies to NLP's Explanation Benchmarks J Hsia, D Pruthi, A Singh, ZC Lipton arXiv preprint arXiv:2308.14272, 2023 | 2 | 2023 |