Aditya Vavre

According to our database, Aditya Vavre authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control.

Ali Taghibakhshi, Ruisi Cai, Saurav Muralidharan, Sharath Turuvekere Sreenivas, Aditya Vavre, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Sheldon Liang, Marcin Chochowski, Zijia Chen, Akhiad Bercovich, Ran Zilberstein, Ran El-Yaniv, Yonatan Geifman, Daniel Korzekwa, Yoshi Suhara, Oluwatobi Olabiyi, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov

CoRR, May, 2026

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery.

Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao

CoRR, January, 2026

2025

EgoVLM: Policy Optimization for Egocentric Video Understanding.

Ashwin Vinod, Shrey Pandit, Aditya Vavre, Linshen Liu

CoRR, June, 2025

2024

Llama 3 Meets MoE: Efficient Upcycling.

Aditya Vavre, Ethan He, Dennis Liu, Zijie Yan, June Yang, Nima Tajbakhsh, Ashwath Aithal

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Adapting Multilingual Models for Code-Mixed Translation.

Aditya Vavre, Abhirut Gupta, Sunita Sarawagi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Training Data Augmentation for Code-Mixed Translation.

Abhirut Gupta, Aditya Vavre, Sunita Sarawagi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021