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The paper addresses the challenge of integrating onboard satellite intelligence beyond raw neural network inference, focusing on the orchestration of.
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This paper addresses the security challenges in long-range autonomous valet parking (LAVP) systems, focusing on protecting identity legitimacy and.
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This paper addresses the problem of continuously detecting human distress signals such as screaming and crying from smartphone audio in real-world noisy.
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SocietyBench addresses an underexplored capability of large language models (LLMs): forecasting the unfolding of real social events rather than merely.
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string2string Studio is a unified, browser-based interactive platform for diverse string-to-string algorithms used in natural language processing.
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This paper addresses the challenge of enabling large language models (LLMs) to provide pedagogically adaptive English-as-a-second-language (ESL) tutoring.
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This paper addresses the emerging privacy and impersonation risks posed by persona skills, which distill personal interaction histories into portable.
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This paper addresses the significant cognitive capability gaps that limit current generative and agentic AI systems from reliable, long-term autonomous.
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This paper addresses a critical gap in software cost estimation models caused by the rise of agentic software engineering, where autonomous AI agents.
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This paper addresses the challenging open-set animal re-identification problem presented in AnimalCLEF 2026, where algorithms must both recognize known.
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This paper addresses the challenging task of sparse-view 3D Gaussian Splatting super-resolution, where the input observations are both sparse and.
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This paper investigates the "doer effect"—the phenomenon that active practice leads to stronger learning outcomes than passive learning—in the context of.
