Qianqi Yan

11 papers A* 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cite-While-You-Generate: Training-Free Evidence Attribution for Multimodal Clinical Summarization.
CoRR
Qianqi Yan, Huy Nguyen, Sumana Srivatsa, Hari Bandi, Xin Eric Wang, Krishnaram Kenthapadi
2025 J jnl
"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models.
CoRR
Jing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan, Fangrui Zhu, Daniel Hong, Yue Fan, Qianqi Yan, Kaiwen Zhou, Ming-Yu Liu, Xin Eric Wang
2025 J jnl
Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning.
CoRR
Sicong Huang, Qianqi Yan, Shengze Wang, Ian Lane
2025 J jnl
Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models.
CoRR
Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang
2025 A* conf
Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs.
EMNLP
Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang
2025 — conf
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models.
ACL (Findings)
Qianqi Yan, Yue Fan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang
2025 J jnl
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models.
CoRR
Qianqi Yan, Yue Fan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang
2025 — conf
Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA.
ACL (Findings)
Qianqi Yan, Xuehai He, Xiang Yue, Xin Eric Wang
2024 J jnl
Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA.
CoRR
Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Xinze Guan, Xin Eric Wang
2024 — conf
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA.
ACL (1)
Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Yang Zhao, Xinze Guan, Xin Wang
2024 J jnl
Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA.
CoRR
Qianqi Yan, Xuehai He, Xiang Yue, Xin Eric Wang

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.