Elizabeth Nielsen

11 papers A 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TranslateGemma Technical Report. CoRR Mara Finkelstein, Isaac Caswell, Tobias Domhan, Jan-Thorsten Peter, Juraj Juraska, Parker Riley, Daniel Deutsch, Geza Kovacs, Cole Dilanni, Colin Cherry, Eleftheria Briakou, Elizabeth Nielsen, Jiaming Luo, Kat Black, Ryan Mullins, Sweta Agrawal, Wenda Xu, Erin Kats, Stephane Jaskiewicz, Markus Freitag, David Vilar
2025	—	`conf`	Alligators All Around: Mitigating Lexical Confusion in Low-resource Machine Translation. NAACL (Short Papers) Elizabeth Nielsen, Isaac Caswell, Jiaming Luo, Colin Cherry
2025	J	`jnl`	SMOL: Professionally translated parallel data for 115 under-represented languages. CoRR Isaac Caswell, Elizabeth Nielsen, Jiaming Luo, Colin Cherry, Geza Kovacs, Hadar Shemtov, Partha Talukdar, Dinesh Tewari, Baba Mamadi Diané, Koulako Moussa Doumbouya, Djibrila Diané, Solo Farabado Cissé
2023	A	`conf`	Parsing dialog turns with prosodic features in English. INTERSPEECH Elizabeth Nielsen, Mark Steedman, Sharon Goldwater
2023	J	`jnl`	Prosodic features improve sentence segmentation and parsing. CoRR Elizabeth Nielsen, Sharon Goldwater, Mark Steedman
2023	—	`conf`	Spelling convention sensitivity in neural language models. EACL (Findings) Elizabeth Nielsen, Christo Kirov, Brian Roark
2023	J	`jnl`	Spelling convention sensitivity in neural language models. CoRR Elizabeth Nielsen, Christo Kirov, Brian Roark
2022	J	`jnl`	Zero-shot Cross-Linguistic Learning of Event Semantics. CoRR Malihe Alikhani, Thomas Kober, Bashar Alhafni, Yue Chen, Mert Inan, Elizabeth Nielsen, Shahab Raji, Mark Steedman, Matthew Stone
2021	—	`conf`	Prosodic segmentation for parsing spoken dialogue. ACL/IJCNLP (1) Elizabeth Nielsen, Mark Steedman, Sharon Goldwater
2020	—	`conf`	The role of context in neural pitch accent detection in English. EMNLP (1) Elizabeth Nielsen, Mark Steedman, Sharon Goldwater
2020	J	`jnl`	The role of context in neural pitch accent detection in English. CoRR Elizabeth Nielsen, Mark Steedman, Sharon Goldwater

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.