Adithya Sagar

According to our database, Adithya Sagar authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Small But Funny: A Feedback-Driven Approach to Humor Distillation.

Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Adithya Sagar, Ahmed Aly, Vered Shwartz, Arash Einolghozati

CoRR, 2024

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling.

Zekun Li, Zhiyu Zoey Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook

CoRR, 2024

2022

Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models.

Alon Albalak, Akshat Shrivastava, Chinnadhurai Sankar, Adithya Sagar, Mike Ross

CoRR, 2022

STOP: A dataset for Spoken Task Oriented Semantic Parsing.

Paden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-Chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossef Mordechay, Robin Algayres, Tu Anh Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed

CoRR, 2022

Stop: A Dataset for Spoken Task Oriented Semantic Parsing.

Paden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-Chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossi Adi, Robin Algayres, Tu Anh Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing.

Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2020

Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks.

Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Active Learning for Domain Classification in a Commercial Spoken Personal Assistant.

Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams

Proceedings of the Interspeech 2019, 2019

2018

Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models.

Adithya Sagar, Rachel LeCover, Christine Ann Shoemaker, Jeffrey D. Varner

BMC Syst. Biol., 2018