Ananya Sai

According to our database, Ananya Sai authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation.

Atharvan Dogra, Krishna Pillutla, Ameet Deshpande, Ananya B. Sai, John J. Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Closing the Gap in the Trade-off between Fair Representations and Accuracy.

Biswajit Rout, Ananya B. Sai, Arun Rajkumar

CoRR, 2024

How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?

Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

A Survey of Evaluation Metrics Used for NLG Systems.

Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra

ACM Comput. Surv., 2023

BiPhone: Modeling Inter Language Phonetic Influences in Text.

Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer

CoRR, 2023

Bi-Phone: Modeling Inter Language Phonetic Influences in Text.

Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages.

Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Perturbation CheckLists for Evaluating NLG Evaluation Metrics.

Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining.

Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra

Trans. Assoc. Comput. Linguistics, 2020

2019

Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples.

Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra

CoRR, 2019

Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses.

Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions.

Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M. Khapra

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018