Diversity driven attention model for query-based abstractive summarization. - Preksha Nema; Mitesh M. Khapra; Anirban Laha; Balaraman Ravindran (ACL (1), 2017)

Towards a Better Metric for Evaluating Question Generation Systems. - Preksha Nema; Mitesh M. Khapra (EMNLP, 2018)

ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. - Soham Parikh; Ananya Sai; Preksha Nema; Mitesh M. Khapra (IJCAI, 2018)

A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization. - Parag Jain; Anirban Laha; Karthik Sankaranarayanan; Preksha Nema; Mitesh M. Khapra; Shreyas Shetty (NAACL-HLT (2), 2018)

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. - Preksha Nema; Shreyas Shetty; Parag Jain; Anirban Laha; Karthik Sankaranarayanan; Mitesh M. Khapra (NAACL-HLT, 2018)

Let's Ask Again: Refine Network for Automatic Question Generation. - Preksha Nema; Akash Kumar Mohankumar; Mitesh M. Khapra; Balaji Vasan Srinivasan; Balaraman Ravindran (EMNLP/IJCNLP (1), 2019)

Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples. - Soham Parikh; Ananya B. Sai; Preksha Nema; Mitesh M. Khapra (CoRR, 2019)

Towards Transparent and Explainable Attention Models. - Akash Kumar Mohankumar; Preksha Nema; Sharan Narasimhan; Mitesh M. Khapra; Balaji Vasan Srinivasan; Balaraman Ravindran (ACL, 2020)

On the weak link between importance and prunability of attention heads. - Aakriti Budhraja; Madhura Pande; Preksha Nema; Pratyush Kumar; Mitesh M. Khapra (EMNLP (1), 2020)

Towards Interpreting BERT for Reading Comprehension Based QA. - Sahana Ramnath; Preksha Nema; Deep Sahni; Mitesh M. Khapra (EMNLP (1), 2020)

On the Importance of Local Information in Transformer Based Models. - Madhura Pande; Aakriti Budhraja; Preksha Nema; Pratyush Kumar; Mitesh M. Khapra (CoRR, 2020)

The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. - Madhura Pande; Aakriti Budhraja; Preksha Nema; Pratyush Kumar; Mitesh M. Khapra (AAAI, 2021)

Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. - Preksha Nema; Alexandros Karatzoglou; Filip Radlinski (CIKM, 2021)

A Framework for Rationale Extraction for Deep QA models. - Sahana Ramnath; Preksha Nema; Deep Sahni; Mitesh M. Khapra (CoRR, 2021)

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. - Anubhav Jangra; Preksha Nema; Aravindan Raghuveer (EMNLP, 2022)

Analyzing User Perspectives on Mobile App Privacy at Scale. - Preksha Nema; Pauline Anthonysamy; Nina Taft; Sai Teja Peddinti (ICSE, 2022)

ReTAG: Reasoning Aware Table to Analytic Text Generation. - Deepanway Ghosal; Preksha Nema; Aravindan Raghuveer (EMNLP, 2023)

STOAT: Structured Data to Analytical Text With Controls. - Deepanway Ghosal; Preksha Nema; Aravindan Raghuveer (CoRR, 2023)