| A survey of evaluation metrics used for NLG systems AB Sai, AK Mohankumar, MM Khapra ACM Computing Surveys (CSUR) 55 (2), 1-39, 2022 | 158 | 2022 |
| Improving dialog evaluation with a multi-reference adversarial dataset and large scale pretraining AB Sai, AK Mohankumar, S Arora, MM Khapra Transactions of the Association for Computational Linguistics 8, 810-827, 2020 | 63 | 2020 |
| Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 47 | 2021 |
| Re-evaluating ADEM: A deeper look at scoring dialogue responses A Sai, M Gupta, M Khapra, M Srinivasan AAAI, 2019 | 47* | 2019 |
| Perturbation CheckLists for evaluating NLG evaluation metrics AB Sai, T Dixit, DY Sheth, S Mohan, MM Khapra arXiv preprint arXiv:2109.05771, 2021 | 33 | 2021 |
| ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions S Parikh, A Sai, P Nema, MM Khapra IJCAI, 2018 | 28 | 2018 |
| A tutorial on evaluation metrics used in natural language generation MM Khapra, AB Sai Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 5 | 2021 |
| IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages AB Sai, T Dixit, V Nagarajan, A Kunchukuttan, P Kumar, MM Khapra, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 3 | 2023 |
| BiPhone: Modeling Inter Language Phonetic Influences in Text A Gupta, AB Sai, R Sproat, Y Vasilevski, JS Ren, A Jash, SS Sodhi, ... arXiv preprint arXiv:2307.03322, 2023 | | 2023 |
| Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples S Parikh, AB Sai, P Nema, MM Khapra arXiv preprint arXiv:1904.02665, 2019 | | 2019 |
Mitesh KhapraIndian Institute of Technology MadrasVerified email at cse.iitm.ac.in
