Daniel Lazar

According to our database, Daniel Lazar authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs.

Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding.

Trang Le, Daniel Lazar, Suyoun Kim, Shan Jiang, Duc Le, Adithya Sagar, Aleksandr Livshits, Ahmed Aly, Akshat Shrivastava

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Augmenting text for spoken language understanding with Large Language Models.

Roshan Sharma, Suyoun Kim, Daniel Lazar, Trang Le, Akshat Shrivastava, Kwanghoon Ahn, Piyush Kansal, Leda Sari, Ozlem Kalinli, Michael L. Seltzer

CoRR, 2023

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning.

Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar

CoRR, 2023

ICASSP 2023 Spoken Language Understanding Grand Challenge.

Akshat Shrivastava, Suyoun Kim, Paden Tomasello, Ali Elkahky, Daniel Lazar, Trang Le, Shan Jiang, Duc Le, Aleksandr Livshits, Ahmed Aly

Proceedings of the IEEE International Conference on Acoustics, 2023

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