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This paper addresses the complex regional economic consequences of coal phase-out, a critical aspect of the global energy transition.
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This paper tackles the long-standing challenge of directly regressing Euler angles for 3D rotations in articulated systems such as robotics and.
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This paper addresses the limitations of traditional text-only pretraining for large language models (LLMs) by introducing Visual Pretraining (VP), a novel.
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The paper addresses the challenges of access control and verifiable authenticity for read-only files shared over networks, especially when these files are.
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This paper addresses the challenge of prediction with interval-censored survival data, which arises when failure times are only known to lie within.
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This paper addresses the challenge of designing symbol-level precoding (SLP) schemes for integrated sensing and communication (ISAC) systems based on.
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This paper describes the winning submission to the QANTA 2026 shared challenge on efficient multimodal question answering in a quizbowl setting.
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This paper addresses the challenge of sentence-level sign language translation (SLT) with a focus on real-time deployment, moving beyond isolated sign.
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TSAI-MetaFraud addresses the critical gap in multimodal fraud detection datasets for metaverse ecosystems by providing a rich benchmark that integrates.
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This paper addresses the challenge of generating long-duration (minute-scale), high-resolution, rhythmically synchronized dance videos from music input.
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This paper investigates training-free relaxed speculative decoding methods to accelerate the sampling process in autoregressive large language models (LLMs).
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This paper challenges the predominant philosophical focus on sentience as the basis for moral status of AI systems, proposing instead that moral.
