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This paper addresses a fundamental limitation in the standard softmax-based multihead attention (MHA) mechanism used in vision transformers (ViTs) for visual perception tasks
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E-TTS addresses key challenges in test-time scaling (TTS) for embodied robotic manipulation tasks, where reasoning and action must be jointly optimized over long sequential horizons
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This paper addresses the problem of efficiently computing the diagonal elements of the forest matrix Ω = (I + L)^{-1} for large graphs, including directed graphs, where existing state-of-the-art ap…
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The paper introduces Einstein World Models (EWMs), a new framework that extends large language models (LLMs) with the ability to perform visual-temporal thought experiments during reasoning
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The paper tackles the challenge of enhancing task planning abilities in small, open-source multimodal large language models (MLLMs) used by GUI web agents
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This paper investigates the problem of hallucination in modern generative world models—models that predict future observations conditioned on agent actions
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This paper revisits the conventional wisdom that scaling model capacity is necessary for improved long-term time series forecasting
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This paper investigates the challenges large language models (LLMs) face when processing historical texts, focusing on Italian from the 17th century
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This paper addresses a key limitation in fine-tuning Vision-Language-Action (VLA) models for robotic manipulation, where existing methods apply uniform supervision across all timesteps without dist…
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This paper addresses the challenge of early detection and continuous monitoring of Mild Cognitive Impairment (MCI) in elderly individuals by proposing a novel language-based digital twin framework
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This paper addresses the challenge of synthesizing large-scale multimode entangling gates in trapped-ion quantum processors, which become increasingly difficult as the number of ions and the densit…
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This paper addresses the challenge of automating the verification of securities' eligibility as collateral at the German Central Bank, a process which traditionally requires manual review of length…
