Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models. - Adithya Sagar; Rachel LeCover; Christine Ann Shoemaker; Jeffrey D. Varner (BMC Syst. Biol., 2018)

Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. - Xi C. Chen; Adithya Sagar; Justine T. Kao; Tony Y. Li; Christopher Klein; Stephen Pulman; Ashish Garg; Jason D. Williams (INTERSPEECH, 2019)

Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. - Pranay Dighe; Saurabh Adya; Nuoyu Li; Srikanth Vishnubhotla; Devang Naik; Adithya Sagar; Ying Ma; Stephen Pulman; Jason D. Williams (ICASSP, 2020)

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

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. - Zekun Li 008; Zhiyu Chen 002; Mike Ross; Patrick Huber; Seungwhan Moon; Zhaojiang Lin; Xin Dong 001; Adithya Sagar; Xifeng Yan; Paul A. Crook (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)

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)

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)