Tootfinder

FBI Director Kash Patel granted waivers to Deputy Director
Dan Bongino and two other newly hired senior FBI staff members,
exempting them from passing polygraph exams normally required to gain access to America’s most sensitive classified information.
People familiar with the matter say his ascent to his position without passing a standard FBI background check was unprecedented.
Bongino was selected for the role at the FBI although he, like Patel, had no prior exper…

FBI Director Kash Patel Waived Polygraph Security Screening for Dan Bongino, Two Other Senior Staff
As the FBI’s deputy director, Bongino receives some of the country’s most sensitive secrets, including the President’s Daily Brief. His ascent to that position without passing a standard bureau background check is unprecedented, insiders say.

Bengals veteran Wilson addresses benching https://www.espn.com/nfl/story/_/id/46597458/bengals-defensive-stalwart-logan-wilson-addresses-benching

Überweisungen hängen fest: Die Tücken der Empfängerverifikation
Sie sollte mehr Sicherheit bringen – doch die Empfängerverifikation sorgt vor allem für Verunsicherung, Banken kämpfen mit der Umsetzung.
ht…

Should I Run My Cloud Benchmark on Black Friday?
S\"oren Henning, Adriano Vogel, Esteban Perez-Wohlfeil, Otmar Ertl, Rick Rabiser
https://arxiv.org/abs/2510.12397 https://

Should I Run My Cloud Benchmark on Black Friday?
Benchmarks and performance experiments are frequently conducted in cloud environments. However, their results are often treated with caution, as the presumed high variability of performance in the cloud raises concerns about reproducibility and credibility. In a recent study, we empirically quantified the impact of this variability on benchmarking results by repeatedly executing a stream processing application benchmark at different times of the day over several months. Our analysis confirms th…

ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
Yicheng Xu, Yue Wu, Jiashuo Yu, Ziang Yan, Tianxiang Jiang, Yinan He, Qingsong Zhao, Kai Chen, Yu Qiao, Limin Wang, Manabu Okumura, Yi Wang
https://arxiv.org/abs/2510.11606

ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
Multimodal Large Language Models (MLLMs) hold promise for accelerating scientific discovery by interpreting complex experimental procedures. However, their true capabilities are poorly understood, as existing benchmarks neglect the fine-grained and long-horizon nature of authentic laboratory work, especially in wet-lab settings. To bridge this gap, we introduce ExpVid, the first benchmark designed to systematically evaluate MLLMs on scientific experiment videos. Curated from peer-reviewed video…

Culturally-Aware Conversations: A Framework & Benchmark for LLMs
Shreya Havaldar, Sunny Rai, Young-Min Cho, Lyle Ungar
https://arxiv.org/abs/2510.11563 https://

Culturally-Aware Conversations: A Framework & Benchmark for LLMs
Existing benchmarks that measure cultural adaptation in LLMs are misaligned with the actual challenges these models face when interacting with users from diverse cultural backgrounds. In this work, we introduce the first framework and benchmark designed to evaluate LLMs in realistic, multicultural conversational settings. Grounded in sociocultural theory, our framework formalizes how linguistic style - a key element of cultural communication - is shaped by situational, relational, and cultural …

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
Zonghao Ying, Yangguang Shao, Jianle Gan, Gan Xu, Junjie Shen, Wenxin Zhang, Quanchen Zou, Junzheng Shi, Zhenfei Yin, Mingchuan Zhang, Aishan Liu, Xianglong Liu
https://arxiv.org/abs/2510.10073

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
Large vision-language model (LVLM)-based web agents are emerging as powerful tools for automating complex online tasks. However, when deployed in real-world environments, they face serious security risks, motivating the design of security evaluation benchmarks. Existing benchmarks provide only partial coverage, typically restricted to narrow scenarios such as user-level prompt manipulation, and thus fail to capture the broad range of agent vulnerabilities. To address this gap, we present \tool{…

<Phase> no... I musn't have any more coffee !!! ;)
<Simunye> sure yu do Phase :)
<Phase> you really want me bouncing off the ceiling?
<Simunye> yesh :)
<kira_> bouncing off the ceiling is gewd
<Phase> ok, that was a silly question
<kira_> it's splatting on the floor that's the problem.

Diff-XYZ: A Benchmark for Evaluating Diff Understanding
Evgeniy Glukhov, Michele Conti, Egor Bogomolov, Yaroslav Golubev, Alexander Bezzubov
https://arxiv.org/abs/2510.12487 htt…

Diff-XYZ: A Benchmark for Evaluating Diff Understanding
Reliable handling of code diffs is central to agents that edit and refactor repositories at scale. We introduce Diff-XYZ, a compact benchmark for code-diff understanding with three supervised tasks: apply (old code $+$ diff $\rightarrow$ new code), anti-apply (new code $-$ diff $\rightarrow$ old code), and diff generation (new code $-$ old code $\rightarrow$ diff). Instances in the benchmark are triples $\langle \textit{old code}, \textit{new code}, \textit{diff} \rangle$ drawn from real commit…

Defects4C: Benchmarking Large Language Model Repair Capability with C/C Bugs
Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Klong, Yi Li
https://arxiv.org/abs/2510.11059

Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs
Automated Program Repair (APR) plays a critical role in enhancing the quality and reliability of software systems. While substantial progress has been made in Java-based APR, largely facilitated by benchmarks like Defects4J, there remains a significant gap in research on C/C++ program repair, despite the widespread use of C/C++ and the prevalence of associated vulnerabilities. This gap is primarily due to the lack of high-quality, open-source benchmarks tailored for C/C++. To address this iss…