Parsa Kavehzadeh

11 papers A* 2Misc 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models. EMNLP Benyamin Jamialahmadi, Parsa Kavehzadeh, Mehdi Rezagholizadeh, Parsa Farinneya, Hossein Rajabzadeh, Aref Jafari, Boxing Chen, Marzieh S. Tahaei
2025	J	`jnl`	Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models. CoRR Benyamin Jamialahmadi, Parsa Kavehzadeh, Mehdi Rezagholizadeh, Parsa Farinneya, Hossein Rajabzadeh, Aref Jafari, Boxing Chen, Marzieh S. Tahaei
2024	J	`jnl`	S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models. CoRR Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	—	`conf`	Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference. EACL (Findings) Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2023	J	`jnl`	Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization. CoRR Xuan Long Do, Mohammad Hassanpour, Ahmed Masry, Parsa Kavehzadeh, Enamul Hoque, Shafiq Joty
2023	J	`jnl`	Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT). CoRR Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2023	A*	`conf`	UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning. EMNLP Ahmed Masry, Parsa Kavehzadeh, Do Xuan Long, Enamul Hoque, Shafiq Joty
2023	J	`jnl`	UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning. CoRR Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, Enamul Hoque, Shafiq R. Joty
2022	J	`jnl`	Chart Question Answering: State of the Art and Future Directions. Comput. Graph. Forum Enamul Hoque, Parsa Kavehzadeh, Ahmed Masry
2022	J	`jnl`	Chart Question Answering: State of the Art and Future Directions. CoRR Enamul Hoque, Parsa Kavehzadeh, Ahmed Masry
2021	Misc	`conf`	Unsupervised Anomaly Detection on Node Attributed Networks: A Deep Learning Approach. ICISS Parsa Kavehzadeh, Mohammadreza Samadi, Maryam Amir Haeri

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.