Organizations automating operational processes need more than a correct outcome: they need to predict how a process will…
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Semantic sensing (SemS) acquires task-relevant information rather than reconstructing complete physical information.Exis…
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Large language models (LLMs) equipped with terminal access have demonstrated strong capabilities in automating software…
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LLM-based multi-agent systems (MAS) have demonstrated strong capabilities in solving complex problems across diverse dom…
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Parameter-efficient fine-tuning (PEFT) has become a standard approach for adapting large language models to downstream t…
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Agentic workflows enable large language models (LLMs) to solve complex tasks by coordinating reasoning, tool use, and ve…
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Multi-agent systems are increasingly deployed for complex knowledge work, yet their orchestration layers remain largely…
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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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