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This paper addresses the problem of person identification based on motion patterns, moving beyond standard gait recognition to general body actions and especially introducing a novel interactive id…
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This paper investigates a novel detection method for sub-eV axion dark matter (DM) by exploiting the chiral magnetic effect (CME) in zero-bias Weyl semimetals subjected to an external static magnet…
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This work addresses the challenge of implementing programmable synthetic motion in space-time metamaterials, which enable unprecedented control over light's momentum, frequency, and energy by dynam…
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This paper investigates whether human everyday causal reasoning and reasoning by large language models (LLMs) rely on abstract structured world models or instead emerge from a form of context-sensi…
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This paper presents ReSCom, a reconfigurable hardware accelerator for Spiking Neural Networks (SNNs) that combines stochastic computing with exact fixed-point arithmetic to achieve energy-efficient…
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This paper tackles the problem of vehicle color recognition (VCR) in real-world surveillance settings characterized by severe long-tailed class imbalance among vehicle colors
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This paper addresses the challenge of efficiently training and scaling Multi-Agent Systems (MAS) built on Large Language Models (LLMs), where orchestration of specialized agents is key to task perf…
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RoboProcessBench addresses the critical gap in evaluating whether vision-language models (VLMs) possess fine-grained process-aware understanding necessary for robotic manipulation tasks
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This paper presents the first search for high-frequency gravitational waves (HFGWs) in the 1 GHz to 1 THz range using geomagnetic conversion detected by radio telescopes
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This paper addresses efficient and faithful communication among heterogeneous large language model (LLM) agents in multi-agent systems (MAS)
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This paper addresses the problem of certifying nonlocality without entanglement (NLWE) in practical quantum measurement scenarios where devices may be untrusted and suffer from imperfections such a…
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This paper addresses the core challenge of open-ended spatial reasoning in vision-language models (VLMs), specifically how the design of an agent's action interface impacts its ability to compose c…
