Akshat Shrivastava

According to our database, Akshat Shrivastava authored at least 31 papers between 2020 and 2024.

Collaborative distances:

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

2024

CoDi: Conversational Distillation for Grounded Question Answering.

Patrick Huber, Arash Einolghozati, Rylan Conway, Kanika Narang, Matt Smith, Waqar Nayyar, Adithya Sagar, Ahmed Aly, Akshat Shrivastava

CoRR, 2024

MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts.

Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srinivasan Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan

CoRR, 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

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

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

Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.

Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

TreePiece: Faster Semantic Parsing via Tree Tokenization.

Sid Wang, Akshat Shrivastava, Sasha Livshits

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

Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding.

Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 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

Treepiece: Faster Semantic Parsing via Tree Tokenization.

Sid Wang, Akshat Shrivastava, Aleksandr Livshits

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing.

Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Introducing Semantics into Speech Encoders.

Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Introducing Semantics into Speech Encoders.

Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang

CoRR, 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

Deliberation Model for On-Device Spoken Language Understanding.

Duc Le, Akshat Shrivastava, Paden D. Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 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

2021

Assessing Data Efficiency in Task-Oriented Semantic Parsing.

Shrey Desai, Akshat Shrivastava, Justin Rill, Brian Moran, Safiyyah Saleem, Alexander Zotov, Ahmed Aly

CoRR, 2021

Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization.

David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat

CoRR, 2021

Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling.

Shrey Desai, Akshat Shrivastava, Alexander Zotov, Ahmed Aly

CoRR, 2021

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog.

Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad

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

Better Fine-Tuning by Reducing Representational Collapse.

Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 9th International Conference on Learning Representations, 2021

Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing.

Akshat Shrivastava, Pierce Chuang, Arun Babu, Shrey Desai, Abhinav Arora, Alexander Zotov, Ahmed Aly

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Muppet: Massive Multi-task Representations with Pre-Finetuning.

Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Conversational Semantic Parsing.

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta

CoRR, 2020

iSeqL: interactive sequence learning.

Akshat Shrivastava, Jeffrey Heer

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Conversational Semantic Parsing.

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020