Ishita Prasad

According to our database, Ishita Prasad authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data.

Ashish Kattamuri, Arpita Vats, Harshwardhan Fartale, Rahul Raja, Akshata Kishore Moharir, Ishita Prasad

CoRR, November, 2025

RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM Evaluation.

Ashish Kattamuri, Harshwardhan Fartale, Arpita Vats, Rahul Raja, Ishita Prasad

CoRR, October, 2025

Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis.

Harshwardhan Fartale, Ashish Kattamuri, Rahul Raja, Arpita Vats, Ishita Prasad, Akshata Kishore Moharir

CoRR, October, 2025

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D.

Sergio Arnaud, Paul McVay, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

CoRR, April, 2025

DexterityGen: Foundation Controller for Unprecedented Dexterity.

Zhao-Heng Yin, Changhao Wang, Luis Pineda, Francois Robert Hogan, Chaithanya Krishna Bodduluri, Akash Sharma, Patrick Lancaster, Ishita Prasad, Mrinal Kalakrishnan, Jitendra Malik, Mike Lambeta, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam

CoRR, February, 2025

Bridging the Semantic Gap: Contrastive Rewards for Multilingual Text-to-SQL.

Ashish Kattamuri, Ishita Prasad, Meetu Malhotra, Arpita Vats, Rahul Raja, Albert Lie

Proceedings of the 20th International Workshop on Semantic and Social Media Adaptation and Personalization, 2025

LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D.

Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran

Proceedings of the Forty-second International Conference on Machine Learning, 2025

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks.

Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John M. Turner, Eric Undersander, Tsung-Yen Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

EgoBlur: Responsible Innovation in Aria.

Nikhil Raina, Guruprasad Somasundaram, Kang Zheng, Steve Saarinen, Jeff Messiner, Mark Schwesinger, Luis Pesqueira, Ishita Prasad, Edward Miller, Prince Gupta, Mingfei Yan, Richard A. Newcombe, Carl Yuheng Ren, Omkar M. Parkhi

CoRR, 2023

2020

What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities.

Souti Chattopadhyay, Ishita Prasad, Austin Z. Henley, Anita Sarma, Titus Barik

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020