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Saket Dingliwal
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2020 – today
- 2024
- [c10]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: 10018-10035 - [c9]Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan:
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. EMNLP (Industry Track) 2024: 35-49 - [i19]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 abs/2405.08295 (2024) - [i18]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 abs/2405.08317 (2024) - [i17]Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Nikolaos Pappas, Srikanth Ronanki:
Sequential Editing for Lifelong Training of Speech Recognition Models. CoRR abs/2406.17935 (2024) - [i16]Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan:
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. CoRR abs/2410.02741 (2024) - [i15]Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Bodapati, Aram Galstyan:
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins. CoRR abs/2410.09362 (2024) - 2023
- [c8]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: 11833-11856 - [c7]Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati:
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. EMNLP (Industry Track) 2023: 631-639 - [c6]Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati:
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. INTERSPEECH 2023: 3302-3306 - [c5]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: 3362-3366 - [i14]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 abs/2307.00453 (2023) - [i13]Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati:
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. CoRR abs/2307.00759 (2023) - [i12]Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati:
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. CoRR abs/2311.08402 (2023) - 2022
- [c4]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: 684-688 - [c3]Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati:
Personalization of CTC Speech Recognition Models. SLT 2022: 302-309 - [i11]Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati:
Personalization of CTC Speech Recognition Models. CoRR abs/2210.09510 (2022) - [i10]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 abs/2212.09095 (2022) - 2021
- [c2]Saket Dingliwal, Shuyang Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür:
Few Shot Dialogue State Tracking using Meta-learning. EACL 2021: 1730-1739 - [i9]Saket Dingliwal, Bill Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür:
Few Shot Dialogue State Tracking using Meta-learning. CoRR abs/2101.06779 (2021) - [i8]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 abs/2110.06502 (2021) - [i7]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 abs/2112.08718 (2021) - 2020
- [c1]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: 301-306 - [i6]Saket Dingliwal, Divyansh Pareek, Jatin Arora:
Finding Input Characterizations for Output Properties in ReLU Neural Networks. CoRR abs/2003.04273 (2020) - [i5]Amrith Setlur, Saket Dingliwal, Barnabás Póczos:
Covariate Distribution Aware Meta-learning. CoRR abs/2007.02523 (2020) - [i4]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 abs/2008.08148 (2020)
2010 – 2019
- 2019
- [i3]Prakhar Ganesh, Saket Dingliwal:
Abstractive Summarization of Spoken and Written Conversation. CoRR abs/1902.01615 (2019) - [i2]Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal:
Literature Survey on Finding Influential Communities in Large Scale Networks. CoRR abs/1902.01629 (2019) - [i1]Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla:
CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. CoRR abs/1908.00860 (2019)
Coauthor Index
aka: Sravan Bodapati
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last updated on 2024-11-25 23:41 CET by the dblp team
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