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Ananya B. Sai
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A survey of evaluation metrics used for NLG systems
AB Sai, AK Mohankumar, MM Khapra
ACM Computing Surveys (CSUR) 55 (2), 1-39, 2022
1952022
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
702020
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
642021
Re-evaluating ADEM: A deeper look at scoring dialogue responses
A Sai, M Gupta, M Khapra, M Srinivasan
AAAI, 2019
49*2019
Perturbation checklists for evaluating NLG evaluation metrics
AB Sai, T Dixit, DY Sheth, S Mohan, MM Khapra
arXiv preprint arXiv:2109.05771, 2021
392021
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
S Parikh, A Sai, P Nema, MM Khapra
IJCAI, 2018
282018
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
62023
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
52021
Closing the Gap in the Trade-off between Fair Representations and Accuracy
B Rout, AB Sai, A Rajkumar
arXiv preprint arXiv:2404.09664, 2024
2024
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
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