MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Phishing email detection faces significant challenges due to evolving adversarial tactics and heterogeneous attack patterns. Traditional approaches, such as rule-based filters and denylists, often struggle to keep pace, leading to missed detections and security risks. While machine learning methods have improved detection performance, they remain limited in adapting to novel and […]


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Evolution of star clusters with initial bulk rotation via N-body simulations

Posted by klaurent Peking

Kavli Affiliate: Rainer Spurzem | Summary:Young star clusters can inherit bulk rotation from the molecular clouds from which they have formed. This rotation can affect the long-term evolution of a star cluster and its constituent stellar populations. In this study, we aim to characterize the effects of different degrees of initial rotation on star clusters […]


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Nonperturbative Quantum Gravity in a Closed Lorentzian Universe

Posted by klaurent Tokyo

Kavli Affiliate: Yasunori Nomura | Summary:We study how meaningful physical predictions can arise in nonperturbative quantum gravity in a closed Lorentzian universe. In such settings, recent developments suggest that the quantum gravitational Hilbert space is one-dimensional and real for each $α$-sector, as induced by spacetime wormholes. This appears to obstruct the conventional quantum-mechanical prescription of […]


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Characterizing Pattern Matching and Its Limits on Compositional Task Structures

Posted by klaurent Stanford

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Despite impressive capabilities, LLMs’ successes often rely on pattern-matching behaviors, yet these are also linked to OOD generalization failures in compositional tasks. However, behavioral studies commonly employ task setups that allow multiple generalization sources (e.g., algebraic invariances, structural repetition), obscuring a precise […]


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Hybrid RIS-Enhanced ISAC Secure Systems: Joint Optimization in the Presence of an Extended Target

Posted by dbos UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Yu Yao, Junhao Zhang, Pu Miao, Long Zhang, Gaojie Chen | Summary: Unlike the conventional fully-passive and fully-active reconfigurable intelligent surfaces (RISs), a hybrid RIS consisting of active and passive reflection units has recently been concerned, which can exploit their integrated advantages to alleviate the RIS-induced path […]


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Enhanced magnetic activity in rapidly rotating binary stars

Posted by klaurent Stanford

Kavli Affiliate: Robert Cameron | Summary:Stellar activity is fundamental to stellar evolution and the formation and habitability of exoplanets. The interaction between convective motions and rotation in cool stars results in a dynamo process that drives magnetic surface activity. In single stars, activity increases with rotation rate until it saturates for stars with rotation periods […]


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Disentangling hierarchical relaxations in glass formers via dynamic eigenmodes

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Wensi Sun, Yanshuang Chen, Wencheng Ji, Yi Zhou, Hua Tong | Summary: Hierarchical dynamics in glass-forming systems span multiple timescales, from fast vibrations to slow structural rearrangements, appearing in both supercooled fluids and glassy states. Understanding how these diverse processes interact across timescales remains a central challenge. […]


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Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems

Posted by klaurent Chicago

Kavli Affiliate: Jeffrey Harvey| First 5 Authors: Jing Nathan Yan, Jing Nathan Yan, , , | Summary:Recommender systems (RS), which are widely deployed across high-stakes domains, are susceptible to biases that can cause large-scale societal impacts. Researchers have proposed methods to measure and mitigate such biases — but translating academic theory into practice is inherently […]


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