Training Structured Prediction Energy Networks with Indirect Supervision. - Amirmohammad Rooshenas; Aishwarya Kamath; Andrew McCallum (NAACL-HLT (2), 2018)

A Survey on Semantic Parsing. - Aishwarya Kamath; Rajarshi Das (AKBC, 2019)

Specializing Distributional Vectors of All Words for Lexical Entailment. - Aishwarya Kamath; Jonas Pfeiffer; Edoardo Maria Ponti; Goran Glavas; Ivan Vulic (RepL4NLP@ACL, 2019)

What do Deep Networks Like to Read? - Jonas Pfeiffer; Aishwarya Kamath; Iryna Gurevych; Sebastian Ruder (CoRR, 2019)

AdapterHub: A Framework for Adapting Transformers. - Jonas Pfeiffer; Andreas Rücklé; Clifton Poth; Aishwarya Kamath; Ivan Vulic; Sebastian Ruder; Kyunghyun Cho; Iryna Gurevych (EMNLP (Demos), 2020)

AdapterFusion: Non-Destructive Task Composition for Transfer Learning. - Jonas Pfeiffer; Aishwarya Kamath; Andreas Rücklé; Kyunghyun Cho; Iryna Gurevych (EACL, 2021)

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. - Aishwarya Kamath; Mannat Singh; Yann LeCun; Gabriel Synnaeve; Ishan Misra; Nicolas Carion (ICCV, 2021)

xGQA: Cross-Lingual Visual Question Answering. - Jonas Pfeiffer; Gregor Geigle; Aishwarya Kamath; Jan-Martin O. Steitz; Stefan Roth 001; Ivan Vulic; Iryna Gurevych (ACL (Findings), 2022)

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. - Zi-Yi Dou; Aishwarya Kamath; Zhe Gan; Pengchuan Zhang; Jianfeng Wang; Linjie Li; Zicheng Liu 001; Ce Liu 001; Yann LeCun; Nanyun Peng 001; Jianfeng Gao 001; Lijuan Wang (NeurIPS, 2022)

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. - Aishwarya Kamath; Peter Anderson; Su Wang 001; Jing Yu Koh; Alexander Ku; Austin Waters; Yinfei Yang; Jason Baldridge; Zarana Parekh (CVPR, 2023)

Adapting Grounded Visual Question Answering Models to Low Resource Languages. - Ying Wang 063; Jonas Pfeiffer; Nicolas Carion; Yann LeCun; Aishwarya Kamath (CVPR Workshops, 2023)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; 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)

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)