Adithya Sagar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Dynamic Optimization

Semantic Parsing

Top Venues

Publications

Trang Le, Daniel Lazar, Suyoun Kim, Shan Jiang, Duc Le, Adithya Sagar, Aleksandr Livshits, Ahmed Aly, Akshat Shrivastava
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding. CoRR (2024)
Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. ACL (1) (2024)
Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. CoRR (2024)
Zekun Li, Zhiyu Zoey Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. CoRR (2024)
Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Adithya Sagar, Ahmed Aly, Vered Shwartz, Arash Einolghozati
Small But Funny: A Feedback-Driven Approach to Humor Distillation. CoRR (2024)
Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov
RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing. ConvAI@ACL (2022)
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 Ahn Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed
Stop: A Dataset for Spoken Task Oriented Semantic Parsing. SLT (2022)
Alon Albalak, Akshat Shrivastava, Chinnadhurai Sankar, Adithya Sagar, Mike Ross
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models. CoRR (2022)
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
STOP: A dataset for Spoken Task Oriented Semantic Parsing. CoRR (2022)
Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing. CoRR (2021)
Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams
Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. ICASSP (2020)
Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks. CoRR (2020)
Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. INTERSPEECH (2019)
Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. CoRR (2019)
Adithya Sagar, Rachel LeCover, Christine Ann Shoemaker, Jeffrey D. Varner
Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models. BMC Syst. Biol. 12 (1) (2018)