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Multi-View Decompilation for LLM-Based Malware Classification
This paper addresses the challenge of automating malware classification using large language models (LLMs) on decompiled binaries
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New Gauge Forces, Neutron Stars and Schwinger Neutrino Production
This paper investigates the phenomenology of new light gauge forces that arise from gauging the anomaly-free Standard Model global symmetries B-L, L_e-L_μ/τ, and L_μ-L_τ
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PCFootprint — A Large-Scale Dataset and Benchmark for Vectorized Building Footprint Extraction from Aerial LiDAR Point Clouds
This paper addresses a crucial gap in the remote sensing and computer vision community by introducing PCFootprint, the first large-scale, publicly available dataset specifically designed for vector…
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PowerAgentBench-Dyn — A Benchmark for Agentic AI in Power System Dynamic Studies
This paper addresses the challenge of applying agentic AI based on large language models (LLMs) to power system dynamic studies—an important yet complex engineering domain that involves multi-step …
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Privacy-Preserving Compliance on Public Ledgers via Selective Disclosure Authorization Schemes
This work addresses the tension between the radical transparency of public blockchains and the privacy requirements of regulatory compliance, especially for selective disclosure of identity attributes
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Probe-and-Refine Tuning of Repository Guidance for Coding Agents
This paper addresses the challenge that large language model (LLM)-based coding agents face when working in code repositories without explicit higher-level operational guidance
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Pseudo-Feature Padding — A Lightweight Defense Against False Data Injection in Power Grids
This paper addresses the vulnerability of deep neural networks (DNNs) used in Cyber-Physical Systems (CPS)—specifically in power grid state estimation—to False Data Injection Attacks (FDIAs), which…
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Resonant heterodyne conversion applied to a low-frequency haloscope for dark matter axion searches in the 1-35 MHz range
This paper addresses the low-frequency dark matter axion search problem using resonant microwave cavities by applying resonant heterodyne up-conversion as the detection method
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SARLO-80 — Worldwide Slant SAR Language Optic Dataset 80cm
This paper addresses a significant gap in multimodal remote sensing datasets by introducing SARLO-80, a worldwide very-high-resolution (VHR) Synthetic Aperture Radar (SAR) and optical imagery datas…
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Scalable Training of Spatially Grounded 2D Vision-Language Models for Radiology
This paper addresses a major challenge in medical vision-language models (VLMs) for radiology — enabling reliable spatial grounding of model outputs without relying on costly manual annotations
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Slow Brain, Fast Planner — Latency-Resilient VLM-Augmented Urban Navigation
This paper addresses a critical bottleneck in learned local planners for urban sidewalk navigation — the inability of their scoring functions to select the best trajectory under semantically challen…
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Smooth time-dependent control of dipolar Bose-Einstein condensates
This paper addresses the challenge of finely controlling the quantum state of dipolar Bose-Einstein condensates (BECs), particularly when driving the system through phase transitions between superf…