Training Data Augmentation for Code-Mixed Translation. - Abhirut Gupta; Aditya Vavre; Sunita Sarawagi (NAACL-HLT, 2021)

Adapting Multilingual Models for Code-Mixed Translation. - Aditya Vavre; Abhirut Gupta; Sunita Sarawagi (EMNLP (Findings), 2022)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Neerkaje; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Eunsol Choi; Alex Dimakis; Aleksandar Bojchevski; Sujay Sanghavi (NeurIPS, 2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Tejaswi; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Alex Dimakis; Eunsol Choi; Aleksandar Bojchevski; Sujay Sanghavi (CoRR, 2024)

Llama 3 Meets MoE: Efficient Upcycling. - Aditya Vavre; Ethan He; Dennis Liu; Zijie Yan; June Yang; Nima Tajbakhsh; Ashwath Aithal (CoRR, 2024)

EgoVLM: Policy Optimization for Egocentric Video Understanding. - Ashwin Vinod; Shrey Pandit; Aditya Vavre; Linshen Liu (CoRR, 2025)