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ArXiv cs.AI 📄 Paper 1d ago
Robust LLM Performance Certification via Constrained Maximum Likelihood Estimation
arXiv:2604.03257v1 Announce Type: cross Abstract: The ability to rigorously estimate the failure rates of large language models (LLMs) is a prerequisite for the
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ArXiv cs.AI 📄 Paper 1d ago
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
arXiv:2604.03258v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated impressive capabilities across various tasks, but the billion-s
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ArXiv cs.AI 📄 Paper 1d ago
Why Attend to Everything? Focus is the Key
arXiv:2604.03260v1 Announce Type: cross Abstract: We introduce Focus, a method that learns which token pairs matter rather than approximating all of them. Learn
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ArXiv cs.AI 📄 Paper 1d ago
AI Governance Control Stack for Operational Stability: Achieving Hardened Governance in AI Systems
arXiv:2604.03262v1 Announce Type: cross Abstract: Artificial intelligence systems are increasingly embedded in high-stakes decision environments, yet many gover
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ArXiv cs.AI 📄 Paper 1d ago
LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling
arXiv:2604.03263v1 Announce Type: cross Abstract: Most current long-context language models still rely on attention to handle both local interaction and long-ra
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ArXiv cs.AI 📄 Paper 1d ago
SafeScreen: A Safety-First Screening Framework for Personalized Video Retrieval for Vulnerable Users
arXiv:2604.03264v1 Announce Type: cross Abstract: Open-domain video platforms offer rich, personalized content that could support health, caregiving, and educat
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ArXiv cs.AI 📄 Paper 1d ago
A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model
arXiv:2604.03267v1 Announce Type: cross Abstract: In this work we present a novel framework for fire safety management in industrial settings through the implem
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ArXiv cs.AI 📄 Paper 1d ago
Artificial Intelligence and Systemic Risk: A Unified Model of Performative Prediction, Algorithmic Herding, and Cognitive Dependency in Financial Markets
arXiv:2604.03272v1 Announce Type: cross Abstract: We develop a unified model in which AI adoption in financial markets generates systemic risk through three mut
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ArXiv cs.AI 📄 Paper 1d ago
IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales
arXiv:2604.03275v1 Announce Type: cross Abstract: Effective adaptation and mitigation strategies for climate change require high-resolution projections to infor
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ArXiv cs.AI 📄 Paper 1d ago
Event-Driven Neuromorphic Vision Enables Energy-Efficient Visual Place Recognition
arXiv:2604.03277v1 Announce Type: cross Abstract: Reliable visual place recognition (VPR) under dynamic real-world conditions is critical for autonomous robots,
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ArXiv cs.AI 📄 Paper 1d ago
Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
arXiv:2604.03278v1 Announce Type: cross Abstract: As power systems advance toward net-zero targets, behind-the-meter renewables are driving rapid growth in dist
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ArXiv cs.AI 📄 Paper 1d ago
Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks
arXiv:2604.03282v1 Announce Type: cross Abstract: Generative AI is envisioned to have a crucial impact on next generation mobile networking, making the sixth ge
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ArXiv cs.AI 📄 Paper 1d ago
Toward Artificial Intelligence Enabled Earth System Coupling
arXiv:2604.03289v1 Announce Type: cross Abstract: Coupling constitutes a foundational mechanism in the Earth system, regulating the interconnected physical, che
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ArXiv cs.AI 📄 Paper 1d ago
RAGnaroX: A Secure, Local-Hosted ChatOps Assistant Using Small Language Models
arXiv:2604.03291v1 Announce Type: cross Abstract: This paper introduces RAGnaroX, a resource-efficient ChatOps assistant that operates entirely on commodity har
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ArXiv cs.AI 📄 Paper 1d ago
Impact of geophysical fields on Deep Learning-based Lagrangian drift simulations
arXiv:2604.03292v1 Announce Type: cross Abstract: We assess the influence of different Eulerian geophysical input fields on Lagrangian drift simulations using D
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ArXiv cs.AI 📄 Paper 1d ago
Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
arXiv:2604.03295v1 Announce Type: cross Abstract: Large language model (LLM) multi-agent systems can scale along two distinct dimensions: by increasing the numb
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ArXiv cs.AI 📄 Paper 1d ago
3D-IDE: 3D Implicit Depth Emergent
arXiv:2604.03296v1 Announce Type: cross Abstract: Leveraging 3D information within Multimodal Large Language Models (MLLMs) has recently shown significant advan
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ArXiv cs.AI 📄 Paper 1d ago
XAttnRes: Cross-Stage Attention Residuals for Medical Image Segmentation
arXiv:2604.03297v1 Announce Type: cross Abstract: In the field of Large Language Models (LLMs), Attention Residuals have recently demonstrated that learned, sel
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ArXiv cs.AI 📄 Paper 1d ago
MoViD: View-Invariant 3D Human Pose Estimation via Motion-View Disentanglement
arXiv:2604.03299v1 Announce Type: cross Abstract: 3D human pose estimation is a key enabling technology for applications such as healthcare monitoring, human-ro
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ArXiv cs.AI 📄 Paper 1d ago
AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System
arXiv:2604.03300v1 Announce Type: cross Abstract: We introduce AIFS-COMPO, a skilful medium-range data-driven global forecasting system for aerosols and reactiv
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ArXiv cs.AI 📄 Paper 1d ago
Embedding-Only Uplink for Onboard Retrieval Under Shift in Remote Sensing
arXiv:2604.03301v1 Announce Type: cross Abstract: Downlink bottlenecks motivate onboard systems that prioritize hazards without transmitting raw pixels. We stud
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ArXiv cs.AI 📄 Paper 1d ago
Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models
arXiv:2604.03302v1 Announce Type: cross Abstract: While Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in image and video un
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ArXiv cs.AI 📄 Paper 1d ago
Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models
arXiv:2604.03303v1 Announce Type: cross Abstract: We introduce a probabilistic diffusion-based method for global atmospheric downscaling implemented within the
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ArXiv cs.AI 📄 Paper 1d ago
Generative Chemical Language Models for Energetic Materials Discovery
arXiv:2604.03304v1 Announce Type: cross Abstract: The discovery of new energetic materials remains a pressing challenge hindered by limited availability of high
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