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Akshat Shrivastava
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2020 – today
- 2024
- [c18]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: 12622-12642 - [c17]Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati:
Small But Funny: A Feedback-Driven Approach to Humor Distillation. ACL (1) 2024: 13078-13090 - [c16]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. EMNLP (Findings) 2024: 14027-14038 - [c15]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. ICML 2024 - [i24]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 abs/2402.18113 (2024) - [i23]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 abs/2404.16710 (2024) - [i22]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 abs/2406.02958 (2024) - [i21]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 abs/2406.07823 (2024) - [i20]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 abs/2407.21770 (2024) - [i19]Patrick Huber, Arash Einolghozati, Rylan Conway, Kanika Narang, Matt Smith, Waqar Nayyar, Adithya Sagar, Ahmed Aly, Akshat Shrivastava:
CoDi: Conversational Distillation for Grounded Question Answering. CoRR abs/2408.11219 (2024) - 2023
- [c14]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: 11413-11429 - [c13]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: 430-447 - [c12]Sid Wang, Akshat Shrivastava, Aleksandr Livshits:
Treepiece: Faster Semantic Parsing via Tree Tokenization. EMNLP (Findings) 2023: 11082-11092 - [c11]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: 1-2 - [c10]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: 1119-1123 - [i18]Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar:
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning. CoRR abs/2302.09042 (2023) - [i17]Sid Wang, Akshat Shrivastava, Sasha Livshits:
TreePiece: Faster Semantic Parsing via Tree Tokenization. CoRR abs/2303.17161 (2023) - [i16]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 abs/2307.12134 (2023) - [i15]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 abs/2309.09390 (2023) - 2022
- [c9]Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov:
RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing. ConvAI@ACL 2022: 184-196 - [c8]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: 3468-3472 - [c7]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:
Stop: A Dataset for Spoken Task Oriented Semantic Parsing. SLT 2022: 991-998 - [i14]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 abs/2202.00901 (2022) - [i13]Duc Le, Akshat Shrivastava, Paden Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer:
Deliberation Model for On-Device Spoken Language Understanding. CoRR abs/2204.01893 (2022) - [i12]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 abs/2207.10643 (2022) - [i11]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 abs/2210.03871 (2022) - [i10]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 abs/2211.08402 (2022) - 2021
- [c6]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: 1873-1886 - [c5]Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta:
Muppet: Massive Multi-task Representations with Pre-Finetuning. EMNLP (1) 2021: 5799-5811 - [c4]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. ICLR 2021 - [c3]Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad:
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. NAACL-HLT 2021: 2969-2978 - [i9]Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta:
Muppet: Massive Multi-task Representations with Pre-Finetuning. CoRR abs/2101.11038 (2021) - [i8]Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad:
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. CoRR abs/2104.04923 (2021) - [i7]Shrey Desai, Akshat Shrivastava, Alexander Zotov, Ahmed Aly:
Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling. CoRR abs/2104.07224 (2021) - [i6]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 abs/2104.07275 (2021) - [i5]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 abs/2106.11890 (2021) - [i4]Shrey Desai, Akshat Shrivastava, Justin Rill, Brian Moran, Safiyyah Saleem, Alexander Zotov, Ahmed Aly:
Assessing Data Efficiency in Task-Oriented Semantic Parsing. CoRR abs/2107.04736 (2021) - [i3]Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov:
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing. CoRR abs/2109.10410 (2021) - 2020
- [c2]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: 5026-5035 - [c1]Akshat Shrivastava, Jeffrey Heer:
iSeqL: interactive sequence learning. IUI 2020: 43-54 - [i2]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. CoRR abs/2008.03156 (2020) - [i1]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 abs/2009.13655 (2020)
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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