Oussama Elachqar

15 papers A* 3Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation. CoRR Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
2025	J	`jnl`	ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms. CoRR Bingxin Xu, Zhen Dong, Oussama Elachqar, Yuzhang Shang
2025	—	`conf`	Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model. ACL (1) Emre Can Acikgoz, Jeremiah Greer, Akul Datta, Ze Yang, William Zeng, Oussama Elachqar, Emmanouil Koukoumidis, Dilek Hakkani-Tür, Gokhan Tur
2025	J	`jnl`	Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model. CoRR Emre Can Acikgoz, Jeremiah Greer, Akul Datta, Ze Yang, William Zeng, Oussama Elachqar, Emmanouil Koukoumidis, Dilek Hakkani-Tür, Gokhan Tur
2025	A*	`conf`	Do LLMs "know" internally when they follow instructions? ICLR Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew C. Miller, Udhyakumar Nallasamy, Jaya Narain
2025	J	`jnl`	MARVIS: Modality Adaptive Reasoning over VISualizations. CoRR Benjamin Feuer, Lennart Purucker, Oussama Elachqar, Chinmay Hegde
2025	J	`jnl`	When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity. CoRR Benjamin Feuer, Chiung-Yi Tseng, Astitwa Sarthak Lathe, Oussama Elachqar, John P. Dickerson
2024	J	`jnl`	Do LLMs "know" internally when they follow instructions? CoRR Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley You Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain
2024	A*	`conf`	Large-scale Training of Foundation Models for Wearable Biosignals. ICLR Salar Abbaspourazad, Oussama Elachqar, Andrew C. Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
2023	J	`jnl`	Large-scale Training of Foundation Models for Wearable Biosignals. CoRR Salar Abbaspourazad, Oussama Elachqar, Andrew C. Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
2020	—	`conf`	Contextual Text Style Transfer. EMNLP (Findings) Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
2020	J	`jnl`	Contextual Text Style Transfer. CoRR Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
2020	A*	`conf`	INSET: Sentence Infilling with INter-SEntential Transformer. ACL Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng
2019	J	`jnl`	INSET: Sentence Infilling with Inter-sentential Generative Pre-training. CoRR Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng
2019	—	`conf`	Multilingual Whispers: Generating Paraphrases with Translation. W-NUT@EMNLP Christian Federmann, Oussama Elachqar, Chris Quirk

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.