Parag Pravin Dakle

11 papers B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems. COLING Workshops Anushka Yadav, Sai Krishna Rallabandi, Parag Pravin Dakle, Preethi Raghavan
2024	J	`jnl`	BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. CoRR Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan
2024	J	`jnl`	Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models. CoRR Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan
2024	J	`jnl`	Ner4Opt: named entity recognition for optimization modelling from natural language. Constraints An Int. J. Serdar Kadioglu, Parag Pravin Dakle, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy
2023	J	`jnl`	An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. CoRR Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan
2023	J	`jnl`	Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding. CoRR Parker Glenn, Parag Pravin Dakle, Preethi Raghavan
2023	J	`jnl`	HeySQuAD: A Spoken Question Answering Dataset. CoRR Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan
2023	B	`conf`	Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language. CPAIOR Parag Pravin Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy
2023	J	`jnl`	Towards leveraging LLMs for Conditional QA. CoRR Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
2022	J	`jnl`	Understanding BLOOM: An empirical study on diverse NLP tasks. CoRR Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
2021	J	`jnl`	CEREC: A Corpus for Entity Resolution in Email Conversations. CoRR Parag Pravin Dakle, Dan I. Moldovan

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.