| Towards interpreting BERT for reading comprehension based QA S Ramnath, P Nema, D Sahni, MM Khapra arXiv preprint arXiv:2010.08983, 2020 | 19 | 2020 |
| Scene graph based image retrieval--a case study on the CLEVR dataset S Ramnath, A Saha, S Chakrabarti, MM Khapra arXiv preprint arXiv:1911.00850, 2019 | 13 | 2019 |
| Are machine rationales (not) useful to humans? measuring and improving human utility of free-text rationales B Joshi, Z Liu, S Ramnath, A Chan, Z Tong, S Nie, Q Wang, Y Choi, X Ren arXiv preprint arXiv:2305.07095, 2023 | 12 | 2023 |
| Hintedbt: Augmenting back-translation with quality and transliteration hints S Ramnath, M Johnson, A Gupta, A Raghuveer arXiv preprint arXiv:2109.04443, 2021 | 6 | 2021 |
| Tailoring self-rationalizers with multi-reward distillation S Ramnath, B Joshi, S Hallinan, X Lu, LH Li, A Chan, J Hessel, Y Choi, ... arXiv preprint arXiv:2311.02805, 2023 | 5 | 2023 |
| Inference-time policy adapters (ipa): Tailoring extreme-scale lms without fine-tuning X Lu, F Brahman, P West, J Jung, K Chandu, A Ravichander, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| A Framework for Rationale Extraction for Deep QA models S Ramnath, P Nema, D Sahni, MM Khapra arXiv preprint arXiv:2110.04620, 2021 | | 2021 |
