Preksha Nema

About Preksha Nema

Preksha Nema, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Indian Institute of Technology Madras, specializes in the field of Deep Learning, NLG, Interpretable NLP models.

His recent articles reflect a diverse array of research interests and contributions to the field:

ReTAG: Reasoning Aware Table to Analytic Text Generation

STOAT: Structured Data to Analytical Text With Controls

T-STAR: Truthful style transfer using AMR graph as intermediate representation

Analyzing user perspectives on mobile app privacy at scale

A Framework for Rationale Extraction for Deep QA models

The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in bert

On the importance of local information in transformer based models

Towards Transparent and Explainable Attention Models

Preksha Nema Information

University

Position

Google PhD Fellow

Citations(all)

613

Citations(since 2020)

583

Cited By

217

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Indian Institute of Technology Madras

Google Scholar

View Google Scholar Profile

Preksha Nema Skills & Research Interests

Deep Learning

NLG

Interpretable NLP models

Top articles of Preksha Nema

Title

Journal

Author(s)

Publication Date

ReTAG: Reasoning Aware Table to Analytic Text Generation

Deepanway Ghosal

Preksha Nema

Aravindan Raghuveer

2023/12/1

STOAT: Structured Data to Analytical Text With Controls

arXiv preprint arXiv:2305.11826

Deepanway Ghosal

Preksha Nema

Aravindan Raghuveer

2023/5/19

T-STAR: Truthful style transfer using AMR graph as intermediate representation

arXiv preprint arXiv:2212.01667

Anubhav Jangra

Preksha Nema

Aravindan Raghuveer

2022/12/3

Analyzing user perspectives on mobile app privacy at scale

Preksha Nema

Pauline Anthonysamy

Nina Taft

Sai Teja Peddinti

2022/5/21

A Framework for Rationale Extraction for Deep QA models

arXiv preprint arXiv:2110.04620

Sahana Ramnath

Preksha Nema

Deep Sahni

Mitesh M Khapra

2021/10/9

The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in bert

Proceedings of the AAAI conference on artificial intelligence

Madhura Pande

Aakriti Budhraja

Preksha Nema

Pratyush Kumar

Mitesh M Khapra

2021/5/18

On the importance of local information in transformer based models

arXiv preprint arXiv:2008.05828

Madhura Pande

Aakriti Budhraja

Preksha Nema

Pratyush Kumar

Mitesh M Khapra

2020/8/13

Towards Transparent and Explainable Attention Models

arXiv preprint arXiv:2004.14243

Akash Kumar Mohankumar

Preksha Nema

Sharan Narasimhan

Mitesh M Khapra

Balaji Vasan Srinivasan

...

2020/4/29

On the weak link between importance and prunability of attention heads

Aakriti Budhraja

Madhura Pande

Preksha Nema

Pratyush Kumar

Mitesh M Khapra

2020/11

Towards Interpreting BERT for Reading Comprehension Based QA

arXiv preprint arXiv:2010.08983

Sahana Ramnath

Preksha Nema

Deep Sahni

Mitesh M Khapra

2020/10/18

Untangle: Critiquing Disentangled Recommendations

Preksha Nema

Alexandros Karatzoglou

Filip Radlinski

2020/10/2

See List of Professors in Preksha Nema University(Indian Institute of Technology Madras)

Co-Authors

H-index: 43
Balaraman Ravindran

Balaraman Ravindran

Indian Institute of Technology Madras

H-index: 34
Mitesh Khapra

Mitesh Khapra

Indian Institute of Technology Madras

H-index: 10
Anirban Laha

Anirban Laha

Université de Montréal

H-index: 6
Ananya B. Sai

Ananya B. Sai

Indian Institute of Technology Madras

H-index: 3
Soham Parikh

Soham Parikh

University of Pennsylvania

academic-engine