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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A central challenge for scientific agents is to turn analytical experience into reusable expertise grounded in physical…
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Multi-agent systems are increasingly deployed for complex knowledge work, yet their orchestration layers remain largely…
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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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Parameter-efficient fine-tuning (PEFT) has become a standard approach for adapting large language models to downstream t…
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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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Large language models (LLMs) equipped with terminal access have demonstrated strong capabilities in automating software…
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Semantic sensing (SemS) acquires task-relevant information rather than reconstructing complete physical information.Exis…
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Organizations automating operational processes need more than a correct outcome: they need to predict how a process will…
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Small language models (SLMs) are attractive as local agent controllers because they reduce remote inference, latency, an…
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This paper examines the role of Novel View Synthesis (NVS) in geometric representation learning.In principle, NVS should…
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We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynam…
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Continual learning treats degradation on previously seen data as evidence of failure, a convention inherited from settin…
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Inspired by human vision, we introduce a framework using active gaze to enable fine-grained bimanual manipulation with o…
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Scarcity of labeled data limits development of deep learning biomarkers in oncology.We develop a two-stage AI model pred…
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LLM-guided evolutionary methods, such as AlphaEvolve, have emerged as powerful approaches for challenging computational…
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Multi-pitch estimation in vocal ensembles is challenging because singers occupy overlapping pitch ranges and often sing…
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Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latency, quality, and memo…
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Marine ecosystems are impacted by various threats such as oil spills, algal blooms, and sediment floods, which disrupt h…
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Large language models (LLMs) are increasingly used to support legal practice, education, and research, yet their reliabi…
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