Yang Trista Cao

22 papers A* 4C 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users. CHI Farnaz Zamiri Zeraati, Yang Trista Cao, Yuehan Qiao, Hal Daumé III, Hernisa Kacorri
2026	J	`jnl`	Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users. CoRR Farnaz Zamiri Zeraati, Yang Trista Cao, Yuehan Qiao, Hal Daumé III, Hernisa Kacorri
2025	C	`conf`	A Longitudinal Look at GDPR Compliance. PST Brian Kim, Yang Trista Cao, K. Suzanne Barber
2025	J	`jnl`	Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users. CoRR Jeffri Murrugarra-Llerena, Haoran Niu, K. Suzanne Barber, Hal Daumé III, Yang Trista Cao, Paola Cascante-Bonilla
2025	A*	`conf`	Natural Language Inference Improves Compositionality in Vision-Language Models. ICLR Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
2024	J	`jnl`	Natural Language Inference Improves Compositionality in Vision-Language Models. CoRR Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
2024	—	`ed.`	Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, NAACL 2024, Mexico City, Mexico, June 18, 2024 NAACL (Student Research Workshop) Yang Trista Cao, Isabel Papadimitriou, Anaelia Ovalle, Marcos Zampieri, Francis Ferraro, Swabha Swayamdipta
2024	—	`—`	Towards Effective and Inclusive AI: Aligning AI Systems with User Needs and Stakeholder Values Across Diverse Contexts. Yang Trista Cao
2024	A*	`conf`	Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method. EMNLP Yang Trista Cao, Lovely-Frances Domingo, Sarah A. Gilbert, Michelle L. Mazurek, Katie Shilton, Hal Daumé III
2023	J	`jnl`	Multilingual large language models leak human stereotypes across language boundaries. CoRR Yang Trista Cao, Anna Sotnikova, Jieyu Zhao, Linda X. Zou, Rachel Rudinger, Hal Daumé III
2023	J	`jnl`	Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators. CoRR Yang Trista Cao, Lovely-Frances Domingo, Sarah Ann Gilbert, Michelle L. Mazurek, Katie Shilton, Hal Daumé III
2022	—	`conf`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022	J	`jnl`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022	—	`conf`	Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. NAACL-HLT Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
2022	J	`jnl`	Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. CoRR Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
2022	—	`conf`	What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility? AACL/IJCNLP (1) Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III
2022	J	`jnl`	What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility? CoRR Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III
2021	—	`conf`	Analyzing Stereotypes in Generative Text Inference Tasks. ACL/IJCNLP (Findings) Anna Sotnikova, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
2021	J	`jnl`	Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle. Comput. Linguistics Yang Trista Cao, Hal Daumé III
2020	A*	`conf`	Toward Gender-Inclusive Coreference Resolution. ACL Yang Trista Cao, Hal Daumé III
2019	—	`conf`	Controlling the Specificity of Clarification Question Generation. WNLP@ACL Yang Trista Cao, Sudha Rao, Hal Daumé III
2019	J	`jnl`	Toward Gender-Inclusive Coreference Resolution. CoRR Yang Trista Cao, Hal Daumé III

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.