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2020 – today
- 2023
[c14]Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer:
ReTAG: Reasoning Aware Table to Analytic Text Generation. EMNLP 2023: 6310-6324- [i14]Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer:
STOAT: Structured Data to Analytical Text With Controls. CoRR abs/2305.11826 (2023) - 2022
- [c13]Anubhav Jangra, Preksha Nema, Aravindan Raghuveer:
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. EMNLP 2022: 8805-8825 - [c12]Preksha Nema, Pauline Anthonysamy, Nina Taft, Sai Teja Peddinti:
Analyzing User Perspectives on Mobile App Privacy at Scale. ICSE 2022: 112-124 - [i13]Anubhav Jangra, Preksha Nema, Aravindan Raghuveer:
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. CoRR abs/2212.01667 (2022) - 2021
- [c11]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. AAAI 2021: 13613-13621 - [c10]Preksha Nema, Alexandros Karatzoglou, Filip Radlinski:
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. CIKM 2021: 1356-1365 - [i12]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT. CoRR abs/2101.09115 (2021) - [i11]Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra:
A Framework for Rationale Extraction for Deep QA models. CoRR abs/2110.04620 (2021) - 2020
- [c9]Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Towards Transparent and Explainable Attention Models. ACL 2020: 4206-4216 - [c8]Aakriti Budhraja, Madhura Pande, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
On the weak link between importance and prunability of attention heads. EMNLP (1) 2020: 3230-3235 - [c7]Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra:
Towards Interpreting BERT for Reading Comprehension Based QA. EMNLP (1) 2020: 3236-3242 - [i10]Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Towards Transparent and Explainable Attention Models. CoRR abs/2004.14243 (2020) - [i9]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
On the Importance of Local Information in Transformer Based Models. CoRR abs/2008.05828 (2020) - [i8]Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra:
Towards Interpreting BERT for Reading Comprehension Based QA. CoRR abs/2010.08983 (2020)
2010 – 2019
- 2019
- [c6]Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Let's Ask Again: Refine Network for Automatic Question Generation. EMNLP/IJCNLP (1) 2019: 3312-3321 - [i7]Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra:
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. CoRR abs/1904.02651 (2019) - [i6]Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra:
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples. CoRR abs/1904.02665 (2019) - [i5]Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Let's Ask Again: Refine Network for Automatic Question Generation. CoRR abs/1909.05355 (2019) - 2018
- [c5]Preksha Nema, Mitesh M. Khapra:
Towards a Better Metric for Evaluating Question Generation Systems. EMNLP 2018: 3950-3959 - [c4]Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M. Khapra:
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. IJCAI 2018: 4272-4278 - [c3]Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty:
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization. NAACL-HLT (2) 2018: 622-627 - [c2]Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra:
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. NAACL-HLT 2018: 1539-1550 - [i4]Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra:
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. CoRR abs/1804.07789 (2018) - [i3]Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty:
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization. CoRR abs/1804.07790 (2018) - [i2]Preksha Nema, Mitesh M. Khapra:
Towards a Better Metric for Evaluating Question Generation Systems. CoRR abs/1808.10192 (2018) - 2017
- [c1]Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran
:
Diversity driven attention model for query-based abstractive summarization. ACL (1) 2017: 1063-1072 - [i1]Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran:
Diversity driven Attention Model for Query-based Abstractive Summarization. CoRR abs/1704.08300 (2017)
Coauthor Index
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