Saket Dingliwal

37 papers A* 2A 5B 1Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Accelerated Test-Time Scaling with Model-Free Speculative Sampling. EMNLP Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025	J	`jnl`	Accelerated Test-Time Scaling with Model-Free Speculative Sampling. CoRR Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025	—	`conf`	Mamba Drafters for Speculative Decoding. EMNLP (Findings) 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
2025	J	`jnl`	Mamba Drafters for Speculative Decoding. CoRR 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
2025	A*	`conf`	SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. ICLR Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan
2025	—	`conf`	Think Clearly: Improving Reasoning via Redundant Token Pruning. EMNLP (Findings) Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025	J	`jnl`	Think Clearly: Improving Reasoning via Redundant Token Pruning. CoRR Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2024	—	`conf`	Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. EMNLP (Industry Track) Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan
2024	J	`jnl`	Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. CoRR Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan
2024	J	`jnl`	SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins. CoRR Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Bodapati, Aram Galstyan
2024	A	`conf`	Sequential Editing for Lifelong Training of Speech Recognition Models. INTERSPEECH Devang Kulshreshtha, Nikolaos Pappas, Brady Houston, Saket Dingliwal, Srikanth Ronanki
2024	J	`jnl`	Sequential Editing for Lifelong Training of Speech Recognition Models. CoRR Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Nikolaos Pappas, Srikanth Ronanki
2024	—	`conf`	SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. ACL (Findings) 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
2024	J	`jnl`	SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. CoRR 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
2024	J	`jnl`	SpeechVerse: A Large-scale Generalizable Audio Language Model. CoRR 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
2023	A	`conf`	Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. INTERSPEECH Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
2023	J	`jnl`	Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. CoRR Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
2023	A	`conf`	Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. INTERSPEECH Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati
2023	J	`jnl`	Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. CoRR Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati
2023	—	`conf`	Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. ACL (1) Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth
2023	—	`conf`	Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. EMNLP (Industry Track) Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati
2023	J	`jnl`	Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. CoRR Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati
2022	A	`conf`	Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems. INTERSPEECH Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
2022	—	`conf`	Personalization of CTC Speech Recognition Models. SLT Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati
2022	J	`jnl`	Personalization of CTC Speech Recognition Models. CoRR Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati
2022	J	`jnl`	Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. CoRR Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth
2021	J	`jnl`	Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems. CoRR Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
2021	J	`jnl`	Efficient domain adaptation of language models in ASR systems using Prompt-tuning. CoRR Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
2021	A	`conf`	Few Shot Dialogue State Tracking using Meta-learning. EACL Saket Dingliwal, Shuyang Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür
2021	J	`jnl`	Few Shot Dialogue State Tracking using Meta-learning. CoRR Saket Dingliwal, Bill Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür
2020	J	`jnl`	Covariate Distribution Aware Meta-learning. CoRR Amrith Setlur, Saket Dingliwal, Barnabás Póczos
2020	J	`jnl`	Finding Input Characterizations for Output Properties in ReLU Neural Networks. CoRR Saket Dingliwal, Divyansh Pareek, Jatin Arora
2020	B	`conf`	Robust Handwriting Recognition with Limited and Noisy Data. ICFHR Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu
2020	J	`jnl`	Robust Handwriting Recognition with Limited and Noisy Data. CoRR Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu
2019	J	`jnl`	Abstractive Summarization of Spoken and Written Conversation. CoRR Prakhar Ganesh, Saket Dingliwal
2019	J	`jnl`	CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. CoRR Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla
2019	J	`jnl`	Literature Survey on Finding Influential Communities in Large Scale Networks. CoRR Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.