research note
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…
research note
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
research note
This paper addresses a critical but understudied risk in search-augmented large language model (LLM) recommenders — susceptibility to polluted web content
research note
This paper addresses the challenge of detecting reasoning failures of large language models (LLMs) at inference time without relying on ground-truth labels
research note
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…
research note
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…
research note
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…
research note
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…
research note
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…
research note
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…
research note
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
research note
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…
