A central challenge for scientific agents is to turn analytical experience into reusable expertise grounded in physical…
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Long-horizon LLM agents act on an append-only interaction history that is re-sent to the model at every step, so the con…
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Social preferences can promote cooperation in multi-agent reinforcement learning, but existing approaches often require…
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Electrocardiogram (ECG) delineation, the identification of waveform boundaries, is a foundational step that translates r…
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Dietary nutrition planning plays an important role in chronic disease management and maintaining a healthy body.In appli…
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Unified multimodal models (UMMs) integrate understanding and generation, yet their generative behavior is rarely governe…
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Sea surface temperature (SST) forecasting depends on local temporal persistence, regional spatial dependence, and enviro…
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Generative actors are transforming offline reinforcement learning (RL) by enabling expressive policy classes that model…
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Wi-Fi 9 is expected to go beyond mere communication and provide new services such as sensing or computation.At this junc…
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We study sequential content sufficiency by investigating whether a representation retains the ordered target information…
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Recurrent neural networks typically compress information into a single vector-valued recurrent state, forcing short-term…
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Despite recent advances in video generation, motion customization remains challenging due to content leakage, where appe…
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Gastric adenocarcinoma (GA) is a leading cause of cancer-related mortality worldwide, and accurate histopathological sub…
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Dynamic multimodal learning aims to learn robust representations by adaptively modeling information discrepancies across…
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LLM agents are increasingly capable of executing complex tasks and of recursively improving themselves on easy-to-verify…
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Looped language models apply the same stack of layers T times to each token, which deepens the model without adding para…
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Visual disruptions can arise while a robot is executing a task, leaving a vision-language-action (VLA) policy to respond…
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When using an LLM agent in a consequential domain, making an informed decision about whether to trust its output or inte…
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Where generalization capacity--the ability to extract context-invariant relational structures--first emerges remains a c…
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Mobile GUI agents increasingly operate on interfaces influenced by users' histories and preferences, but their reliabili…
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