Abstractive Summarization of Spoken and Written Conversation. - Prakhar Ganesh; Saket Dingliwal (CoRR, 2019)

Literature Survey on Finding Influential Communities in Large Scale Networks. - Prakhar Ganesh; Saket Dingliwal; Rahul Agarwal (CoRR, 2019)

CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. - Saket Dingliwal; Ronak Agarwal; Happy Mittal; Parag Singla (CoRR, 2019)

Robust Handwriting Recognition with Limited and Noisy Data. - Hai Pham; Amrith Setlur; Saket Dingliwal; Tzu-Hsiang Lin; Barnabás Póczos; Kang Huang; Zhuo Li; Jae Lim; Collin McCormack; Tam Vu 002 (ICFHR, 2020)

Finding Input Characterizations for Output Properties in ReLU Neural Networks. - Saket Dingliwal; Divyansh Pareek; Jatin Arora 002 (CoRR, 2020)

Covariate Distribution Aware Meta-learning. - Amrith Setlur; Saket Dingliwal; Barnabás Póczos (CoRR, 2020)

Few Shot Dialogue State Tracking using Meta-learning. - Saket Dingliwal; Shuyang Gao; Sanchit Agarwal; Chien-Wei Lin; Tagyoung Chung; Dilek Hakkani-Tür (EACL, 2021)

Few Shot Dialogue State Tracking using Meta-learning. - Saket Dingliwal; Bill Gao; Sanchit Agarwal; Chien-Wei Lin; Tagyoung Chung; Dilek Hakkani-Tür (CoRR, 2021)

Efficient domain adaptation of language models in ASR systems using Prompt-tuning. - Saket Dingliwal; Ashish Shenoy; Sravan Bodapati; Ankur Gandhe; Ravi Teja Gadde; Katrin Kirchhoff (CoRR, 2021)

Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems. - Saket Dingliwal; Ashish Shenoy; Sravan Bodapati; Ankur Gandhe; Ravi Teja Gadde; Katrin Kirchhoff (INTERSPEECH, 2022)

Personalization of CTC Speech Recognition Models. - Saket Dingliwal; Monica Sunkara; Srikanth Ronanki; Jeff Farris; Katrin Kirchhoff; Sravan Bodapati (SLT, 2022)

Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. - Hritik Bansal; Karthik Gopalakrishnan 001; Saket Dingliwal; Sravan Bodapati; Katrin Kirchhoff; Dan Roth 001 (ACL (1), 2023)

Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. - Sai Muralidhar Jayanthi; Devang Kulshreshtha; Saket Dingliwal; Srikanth Ronanki; Sravan Bodapati (EMNLP (Industry Track), 2023)

Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. - Anshu Bhatia; Sanchit Sinha; Saket Dingliwal; Karthik Gopalakrishnan 001; Sravan Bodapati; Katrin Kirchhoff (INTERSPEECH, 2023)

Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. - Devang Kulshreshtha; Saket Dingliwal; Brady Houston; Sravan Bodapati (INTERSPEECH, 2023)

SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. - Raghuveer Peri; Sai Muralidhar Jayanthi; Srikanth Ronanki; Anshu Bhatia; Karel Mundnich; Saket Dingliwal; Nilaksh Das; Zejiang Hou; Goeric Huybrechts; Srikanth Vishnubhotla; Daniel Garcia-Romero; Sundararajan Srinivasan; et al. (ACL (Findings), 2024)

Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. - Lei Xu 040; Mohammed Asad Karim; Saket Dingliwal; Aparna Elangovan (EMNLP (Industry Track), 2024)

Sequential Editing for Lifelong Training of Speech Recognition Models. - Devang Kulshreshtha; Nikolaos Pappas 004; Brady Houston; Saket Dingliwal; Srikanth Ronanki (INTERSPEECH, 2024)

SpeechVerse: A Large-scale Generalizable Audio Language Model. - Nilaksh Das; Saket Dingliwal; Srikanth Ronanki; Rohit Paturi; Zhaocheng Huang; Prashant Mathur; Jie Yuan; Dhanush Bekal; Xing Niu 001; Sai Muralidhar Jayanthi; Xilai Li; Karel Mundnich; et al. (CoRR, 2024)

SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. - Raghuveer Peri; Sai Muralidhar Jayanthi; Srikanth Ronanki; Anshu Bhatia; Karel Mundnich; Saket Dingliwal; Nilaksh Das; Zejiang Hou; Goeric Huybrechts; Srikanth Vishnubhotla; Daniel Garcia-Romero; Sundararajan Srinivasan; et al. (CoRR, 2024)

SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins. - Jongwoo Ko; Saket Dingliwal; Bhavana Ganesh; Sailik Sengupta; Sravan Bodapati; Aram Galstyan (CoRR, 2024)

SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. - Jongwoo Ko; Saket Dingliwal; Bhavana Ganesh; Sailik Sengupta; Sravan Babu Bodapati; Aram Galstyan (ICLR, 2025)

Mamba Drafters for Speculative Decoding. - Daewon Choi; Seunghyuk Oh; Saket Dingliwal; Jihoon Tack; Kyuyoung Kim; Woomin Song; Seojin Kim; Insu Han; Jinwoo Shin; Aram Galstyan; Shubham Katiyar; Sravan Babu Bodapati (CoRR, 2025)

Accelerated Test-Time Scaling with Model-Free Speculative Sampling. - Woomin Song; Saket Dingliwal; Sai Muralidhar Jayanthi; Bhavana Ganesh; Jinwoo Shin; Aram Galstyan; Sravan Babu Bodapati (CoRR, 2025)

Think Clearly: Improving Reasoning via Redundant Token Pruning. - Daewon Choi; Jimin Lee; Jihoon Tack; Woomin Song; Saket Dingliwal; Sai Muralidhar Jayanthi; Bhavana Ganesh; Jinwoo Shin; Aram Galstyan; Sravan Babu Bodapati (CoRR, 2025)