Akshat Shrivastava

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 40

Top Topics

Language Understanding

Neural Architecture

Semantic Parsing

Top Venues

Publications

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
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. CoRR (2024)
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)
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)
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
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. ACL (1) (2024)
Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati
Small But Funny: A Feedback-Driven Approach to Humor Distillation. ACL (1) (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)
Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srinivasan Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts. CoRR (2024)
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
Introducing Semantics into Speech Encoders. ACL (1) (2023)
Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. CoRR (2023)
Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. INTERSPEECH (2023)
Sid Wang, Akshat Shrivastava, Sasha Livshits
TreePiece: Faster Semantic Parsing via Tree Tokenization. CoRR (2023)
Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Sasha Livshits, Giulia Fanti, Daniel Lazar
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning. CoRR (2023)
Sid Wang, Akshat Shrivastava, Aleksandr Livshits
Treepiece: Faster Semantic Parsing via Tree Tokenization. EMNLP (Findings) (2023)
Roshan Sharma, Suyoun Kim, Daniel Lazar, Trang Le, Akshat Shrivastava, Kwanghoon Ahn, Piyush Kansal, Leda Sari, Ozlem Kalinli, Michael L. Seltzer
Augmenting text for spoken language understanding with Large Language Models. CoRR (2023)
Akshat Shrivastava, Suyoun Kim, Paden Tomasello, Ali Elkahky, Daniel Lazar, Trang Le, Shan Jiang, Duc Le, Aleksandr Livshits, Ahmed Aly
ICASSP 2023 Spoken Language Understanding Grand Challenge. ICASSP (2023)
Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. EACL (2023)
Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov
RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing. ConvAI@ACL (2022)
Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. CoRR (2022)
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
Introducing Semantics into Speech Encoders. CoRR (2022)
Duc Le, Akshat Shrivastava, Paden Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer
Deliberation Model for On-Device Spoken Language Understanding. CoRR (2022)
Deepak Kumar Jain, Akshi Kumar, Akshat Shrivastava
CanarDeep: a hybrid deep neural model with mixed fusion for rumour detection in social data streams. Neural Comput. Appl. 34 (18) (2022)
Duc Le, Akshat Shrivastava, Paden D. Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer
Deliberation Model for On-Device Spoken Language Understanding. INTERSPEECH (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)
Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. CoRR (2021)
Akshat Shrivastava, Pierce Chuang, Arun Babu, Shrey Desai, Abhinav Arora, Alexander Zotov, Ahmed Aly
Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing. EMNLP (Findings) (2021)
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta
Better Fine-Tuning by Reducing Representational Collapse. ICLR (2021)
Akshat Shrivastava, Pierce Chuang, Arun Babu, Shrey Desai, Abhinav Arora, Alexander Zotov, Ahmed Aly
Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing. CoRR (2021)
Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. NAACL-HLT (2021)
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta
Muppet: Massive Multi-task Representations with Pre-Finetuning. EMNLP (1) (2021)
David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization. CoRR (2021)
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta
Muppet: Massive Multi-task Representations with Pre-Finetuning. CoRR (2021)
Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing. CoRR (2021)
Shrey Desai, Akshat Shrivastava, Alexander Zotov, Ahmed Aly
Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling. CoRR (2021)
Shrey Desai, Akshat Shrivastava, Justin Rill, Brian Moran, Safiyyah Saleem, Alexander Zotov, Ahmed Aly
Assessing Data Efficiency in Task-Oriented Semantic Parsing. CoRR (2021)
Akshat Shrivastava, Jeffrey Heer
iSeqL: interactive sequence learning. IUI (2020)
Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta
Conversational Semantic Parsing. CoRR (2020)
Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta
Conversational Semantic Parsing. EMNLP (1) (2020)
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta
Better Fine-Tuning by Reducing Representational Collapse. CoRR (2020)