Saket Dingliwal

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Satisfiability Modulo Theories

Speech Recognition

Top Venues

Publications

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, Kyu J. Han, Katrin Kirchhoff
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. CoRR (2024)
Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, Rohit Paturi, Zhaocheng Huang, Prashant Mathur, Jie Yuan, Dhanush Bekal, Xing Niu, Sai Muralidhar Jayanthi, Xilai Li, Karel Mundnich, Monica Sunkara, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff
SpeechVerse: A Large-scale Generalizable Audio Language Model. CoRR (2024)
Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Nikolaos Pappas, Srikanth Ronanki
Sequential Editing for Lifelong Training of Speech Recognition Models. CoRR (2024)
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, Kyu J. Han, Katrin Kirchhoff
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. ACL (Findings) (2024)
Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. EMNLP (Industry Track) (2023)
Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. INTERSPEECH (2023)
Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. CoRR (2023)
Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. CoRR (2023)
Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. CoRR (2023)
Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. INTERSPEECH (2023)
Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. ACL (1) (2023)
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems. INTERSPEECH (2022)
Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati
Personalization of CTC Speech Recognition Models. SLT (2022)
Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati
Personalization of CTC Speech Recognition Models. CoRR (2022)
Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. CoRR (2022)
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems. CoRR (2021)
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
Efficient domain adaptation of language models in ASR systems using Prompt-tuning. CoRR (2021)
Saket Dingliwal, Shuyang Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür
Few Shot Dialogue State Tracking using Meta-learning. EACL (2021)
Saket Dingliwal, Bill Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür
Few Shot Dialogue State Tracking using Meta-learning. CoRR (2021)
Amrith Setlur, Saket Dingliwal, Barnabás Póczos
Covariate Distribution Aware Meta-learning. CoRR (2020)
Saket Dingliwal, Divyansh Pareek, Jatin Arora
Finding Input Characterizations for Output Properties in ReLU Neural Networks. CoRR (2020)
Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu
Robust Handwriting Recognition with Limited and Noisy Data. ICFHR (2020)
Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu
Robust Handwriting Recognition with Limited and Noisy Data. CoRR (2020)
Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla
CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. CoRR (2019)
Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal
Literature Survey on Finding Influential Communities in Large Scale Networks. CoRR (2019)
Prakhar Ganesh, Saket Dingliwal
Abstractive Summarization of Spoken and Written Conversation. CoRR (2019)