Stateless Model Checking Under a Reads-Value-From Equivalence. - Pratyush Agarwal; Krishnendu Chatterjee; Shreya Pathak; Andreas Pavlogiannis; Viktor Toman (CAV (1), 2021)

The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding. - Archiki Prasad; Mohammad Ali Rehan; Shreya Pathak; Preethi Jyothi (CoRR, 2021)

CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation. - Sneha Mondal; Ritika; Shreya Pathak; Preethi Jyothi; Aravindan Raghuveer (EMNLP, 2022)

Secure Non-Interactive Reduction and Spectral Analysis of Correlations. - Pratyush Agarwal; Varun Narayanan; Shreya Pathak; Manoj Prabhakaran 001; Vinod M. Prabhakaran; Mohammad Ali Rehan (IACR Cryptol. ePrint Arch., 2022)

Improving Pretraining Techniques for Code-Switched NLP. - Richeek Das; Sahasra Ranjan; Shreya Pathak; Preethi Jyothi (ACL (1), 2023)

Human-Timescale Adaptation in an Open-Ended Task Space. - Jakob Bauer; Kate Baumli; Feryal M. P. Behbahani; Avishkar Bhoopchand; Nathalie Bradley-Schmieg; Michael Chang; Natalie Clay; Adrian Collister; Vibhavari Dasagi; Lucy Gonzalez; Karol Gregor; Edward Hughes 001; et al. (ICML, 2023)

Human-Timescale Adaptation in an Open-Ended Task Space. - Adaptive Agent Team; Jakob Bauer; Kate Baumli; Satinder Baveja; Feryal M. P. Behbahani; Avishkar Bhoopchand; Nathalie Bradley-Schmieg; Michael Chang; Natalie Clay; Adrian Collister; Vibhavari Dasagi; Lucy Gonzalez; et al. (CoRR, 2023)

A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames. - Pinelopi Papalampidi; Skanda Koppula; Shreya Pathak; Justin Chiu; Joe Heyward; Viorica Patraucean; Jiajun Shen; Antoine Miech; Andrew Zisserman; Aida Nematzadeh (CVPR, 2024)

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding. - Talfan Evans; Shreya Pathak; Hamza Merzic; Jonathan Schwarz; Ryutaro Tanno; Olivier J. Hénaff (ECCV (17), 2024)

Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings. - Sahand Sharifzadeh; Christos Kaplanis; Shreya Pathak; Dharshan Kumaran; Anastasija Ilic; Jovana Mitrovic; Charles Blundell; Andrea Banino (CoRR, 2024)

Gemma: Open Models Based on Gemini Research and Technology. - Thomas Mesnard; Cassidy Hardin; Robert Dadashi; Surya Bhupatiraju; Shreya Pathak; Laurent Sifre; Morgane Rivière; Mihir Sanjay Kale; Juliette Love; Pouya Tafti; Léonard Hussenot; Aakanksha Chowdhery; et al. (CoRR, 2024)

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. - Aleksandar Botev; Soham De; Samuel L. Smith; Anushan Fernando; George-Cristian Muraru; Ruba Haroun; Leonard Berrada; Razvan Pascanu; Pier Giuseppe Sessa; Robert Dadashi; Léonard Hussenot; Johan Ferret; et al. (CoRR, 2024)

Gemma 2: Improving Open Language Models at a Practical Size. - Morgane Rivière; Shreya Pathak; Pier Giuseppe Sessa; Cassidy Hardin; Surya Bhupatiraju; Léonard Hussenot; Thomas Mesnard; Bobak Shahriari; Alexandre Ramé; Johan Ferret; Peter Liu; Pouya Tafti; et al. (CoRR, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

Spark Transformer: Reactivating Sparsity in FFN and Attention. - Chong You; Kan Wu; Zhipeng Jia; Lin Chen; Srinadh Bhojanapalli; Jiaxian Guo; Utku Evci; Jan Wassenberg; Praneeth Netrapalli; Jeremiah J. Willcock; Suvinay Subramanian; Felix Chern; et al. (CoRR, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)