Adele Goldberg

11 papers B 8Journal 2Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	For GPT-4 as with Humans: Information Structure Predicts Acceptability of Long-Distance Dependencies. CogSci Nicole Cuneo, Nora Graves, Supantho Rakshit, Adele Goldberg
2025	B	`conf`	Islands Result from Clash of Functions: Single-conjunct Wh-Qs. CogSci Abigail Fergus, Arielle Belluck, Nicole Cuneo, Adele Goldberg
2025	J	`jnl`	Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs. CoRR Leonie Weissweiler, Kyle Mahowald, Adele Goldberg
2025	J	`jnl`	Meaning-infused grammar: Gradient Acceptability Shapes the Geometric Representations of Constructions in LLMs. CoRR Supantho Rakshit, Adele Goldberg
2023	—	`conf`	Causal interventions expose implicit situation models for commonsense language understanding. ACL (Findings) Takateru Yamakoshi, James L. McClelland, Adele Goldberg, Robert D. Hawkins
2022	B	`conf`	Accessibility factors that lead to good-enough language production. CogSci Crystal Lee, Casey Lew-Williams, Adele Goldberg
2022	B	`conf`	Backgroundedness Predicts Island Status of Non-finite Adjuncts in English. CogSci Savithry Namboodiripad, Nicole Cuneo, Mathew A. Kramer, Yourdanis Sedarous, Felicia Bisnath, Yushi Sugimoto, Adele Goldberg
2022	B	`conf`	Islands effects without extraction: the discourse functions of constructions predicts island status. CogSci Nicole Cuneo, Adele Goldberg
2022	B	`conf`	Language learners' unacceptability judgments improve with repeated exposure to acceptable sentences. CogSci Karina Tachihara, Adele Goldberg
2021	B	`conf`	Modeling rules and similarity in colexification. CogSci Sammy Floyd, Kavindya Dalawella, Adele Goldberg, Casey Lew-Williams, Tom Griffiths
2021	B	`conf`	Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries. CogSci Robert D. Hawkins, Irina Liu, Adele Goldberg, Tom Griffiths

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.