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The paper introduces ALMANAC, a novel dataset designed to address a critical gap in human-agent collaboration research — the lack of human collaboration data annotated with detailed, action-level me…
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This paper presents PolyGraphPy, an open-source Python framework that unifies atomistic simulation, machine learning-based property prediction, and generative design for polymers
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This paper addresses the significant privacy, scalability, and usability challenges in wireless service discovery (SD) protocols that are widely used in modern networks such as 5G and IoT
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PriSrv tackles the long-standing problem of privacy leaks and security vulnerabilities in wireless service discovery (SD) protocols
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This paper addresses regret minimization in repeated games against adaptive opponents -- those who respond based on the entire history of play
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This paper addresses the challenge of preserving authentic student programming effort in the age of Generative AI, which makes it difficult to distinguish human-derived code from AI-generated submi…
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This paper addresses the underexplored ability of Vision-Language Models (VLMs) to perform chronological reasoning—understanding and ordering events or objects across time—beyond simple frame seque…
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This paper addresses the anomaly of very short gravitational-wave transients GW190521 and GW231123, whose inferred parameters (high total masses and spins) challenge standard binary black hole (BBH…
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This paper addresses a fundamental architectural inefficiency in long-horizon web agents — the obligate ingestion of the entire raw DOM and accessibility tree at every action step, even when most of…
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This paper addresses the challenge of deep video understanding (DVU) in VideoQA, which requires reasoning over long-range, complex storylines with multi-faceted question types and detailed story el…
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This paper addresses the limitations of existing topological data analysis (TDA) methods for comparing neural network representations, specifically the Representation Topology Divergence (RTD) fram…
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This paper introduces the concept of the Coverage Gap, defined as the measurable distance between the observable public cybersecurity disclosure capabilities of critical infrastructure operators an…
