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Mana — Dexterous Manipulation of Articulated Tools
This paper addresses the challenging problem of dexterous manipulation of articulated tools with multi-fingered robotic hands
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Max-Min Secrecy Rate Optimization for Secure ISAC Networks — Global Optimization and Low-Complexity Algorithm
This paper addresses the problem of secure multi-user integrated sensing and communication (ISAC) networks where untrusted sensing users (SUs) may eavesdrop on confidential information intended for…
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On the holomorphy of the curvature of planar webs along an invariant curve
This paper investigates the conditions under which the curvature of planar d-webs on (\mathbb{C}^2,0) remains holomorphic along an invariant irreducible curve C
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One Polluted Page Is Enough — Evaluating Web Content Pollution in Generative Recommenders
This paper addresses a critical but understudied risk in search-augmented large language model (LLM) recommenders — susceptibility to polluted web content
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Operadic consistency — a label-free signal for compositional reasoning failures in LLMs
This paper addresses the challenge of detecting reasoning failures of large language models (LLMs) at inference time without relying on ground-truth labels
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Operads for compositional reasoning in LLMs
This paper introduces operads, well-studied mathematical structures from algebraic topology and category theory, as a rigorous framework for modeling question decomposition in large language models…
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Person Identification from Contextual Motion
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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Probing Axion Dark Matter via the Chiral Magnetic Effect in Zero-Bias Weyl Semimetals
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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Programmable Synthetic Motion at a Time-Varying Interface
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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Reasoning as Pattern Matching — Shared Mechanisms in Human and LLM Everyday Reasoning
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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ReSCom — A Reconfigurable Spiking Neural Network Accelerator Using Stochastic Computing
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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Revisiting Vehicle Color Recognition in Long-Tailed Surveillance Scenarios
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