Conversational Semantic Parsing. - Armen Aghajanyan; Jean Maillard; Akshat Shrivastava; Keith Diedrick; Michael Haeger; Haoran Li 007; Yashar Mehdad; Veselin Stoyanov; Anuj Kumar; Mike Lewis; Sonal Gupta (EMNLP (1), 2020)

iSeqL: interactive sequence learning. - Akshat Shrivastava; Jeffrey Heer (IUI, 2020)

Conversational Semantic Parsing. - Armen Aghajanyan; Jean Maillard; Akshat Shrivastava; Keith Diedrick; Mike Haeger; Haoran Li 007; Yashar Mehdad; Ves Stoyanov; Anuj Kumar; Mike Lewis; Sonal Gupta (CoRR, 2020)

Muppet: Massive Multi-task Representations with Pre-Finetuning. - Armen Aghajanyan; Anchit Gupta; Akshat Shrivastava; Xilun Chen 002; Luke Zettlemoyer; Sonal Gupta (EMNLP (1), 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 (EMNLP (Findings), 2021)

Better Fine-Tuning by Reducing Representational Collapse. - Armen Aghajanyan; Akshat Shrivastava; Anchit Gupta; Naman Goyal 001; Luke Zettlemoyer; Sonal Gupta (ICLR, 2021)

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. - Arun Babu; Akshat Shrivastava; Armen Aghajanyan; Ahmed Aly; Angela Fan; Marjan Ghazvininejad (NAACL-HLT, 2021)

Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling. - Shrey Desai; Akshat Shrivastava; 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)

Assessing Data Efficiency in Task-Oriented Semantic Parsing. - Shrey Desai; Akshat Shrivastava; Justin Rill; Brian Moran; Safiyyah Saleem; Alexander Zotov; Ahmed Aly (CoRR, 2021)

RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing. - Vivek Gupta 001; Akshat Shrivastava; Adithya Sagar; Armen Aghajanyan; Denis Savenkov (ConvAI@ACL, 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 (INTERSPEECH, 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; et al. (SLT, 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; et al. (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)

Introducing Semantics into Speech Encoders. - Derek Xu; Shuyan Dong; Changhan Wang; Suyoun Kim; Zhaojiang Lin; Akshat Shrivastava; Shang-Wen Li 001; Liang-Hsuan Tseng; Alexei Baevski; Guan-Ting Lin; Hung-yi Lee; Yizhou Sun; et al. (CoRR, 2022)

Introducing Semantics into Speech Encoders. - Derek Xu; Shuyan Dong; Changhan Wang; Suyoun Kim; Zhaojiang Lin; Bing Liu; Akshat Shrivastava; Shang-Wen Li 001; Liang-Hsuan Tseng; Guan-Ting Lin; Alexei Baevski; Hung-yi Lee; et al. (ACL (1), 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 (EACL, 2023)

Treepiece: Faster Semantic Parsing via Tree Tokenization. - Sid Wang; Akshat Shrivastava; Aleksandr Livshits (EMNLP (Findings), 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 (ICASSP, 2023)

An Intelligent and Deep Learning Approach for Pothole Surveillance Smart Application. - Sushila Palwe; Anita Gunjal; Sanskar Jindal; Akshat Shrivastava; Atharva Deshmukh; Mehul Navalakha (ICMLDE, 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 (INTERSPEECH, 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)

TreePiece: Faster Semantic Parsing via Tree Tokenization. - Sid Wang; Akshat Shrivastava; Sasha Livshits (CoRR, 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)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. - Mostafa Elhoushi; Akshat Shrivastava; Diana Liskovich; Basil Hosmer; Bram Wasti; Liangzhen Lai; Anas Mahmoud 002; Bilge Acun; Saurabh Agarwal; Ahmed Roman; Ahmed A Aly; Beidi Chen; et al. (ACL (1), 2024)

Small But Funny: A Feedback-Driven Approach to Humor Distillation. - Sahithya Ravi; Patrick Huber; Akshat Shrivastava; Vered Shwartz; Arash Einolghozati (ACL (1), 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 (EMNLP (Findings), 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 (ICML, 2024)

Governance Practices for Open Source Foundations in the Healthcare Sector. - Elçin Yenisen Yavuz; Akshat Shrivastava; Dirk Riehle; Florian Putz (ICSOB, 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)

MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts. - Xi Victoria Lin; Akshat Shrivastava; Liang Luo; Srinivasan Iyer 001; Mike Lewis; Gargi Ghosh; Luke Zettlemoyer; Armen Aghajanyan (CoRR, 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)

CoSMoEs: Compact Sparse Mixture of Experts. - Patrick Huber; Akshat Shrivastava; Ernie Chang; Chinnadhurai Sankar; Ahmed Aly; Adithya Sagar (CoRR, 2025)