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Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6G
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Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning
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RTFDNet: Fusion-Decoupling for Robust RGB-T Segmentation
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Deep Tabular Research via Continual Experience-Driven Execution
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DataFactory: Collaborative Multi-Agent Framework for Advanced Table Question Answering
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Bioalignment: Measuring and Improving LLM Disposition Toward Biological Systems for AI Safety
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Real-Time Trust Verification for Safe Agentic Actions using TrustBench
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RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning
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Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL
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POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery
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GIAT: A Geologically-Informed Attention Transformer for Lithology Identification
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Improving Search Agent with One Line of Code
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Better Bounds for the Distributed Experts Problem
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Progressive Split Mamba: Effective State Space Modelling for Image Restoration
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Point Cloud as a Foreign Language for Multi-modal Large Language Model
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Differentiable Stochastic Traffic Dynamics: Physics-Informed Generative Modelling in Transportation
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Dissecting Chronos: Sparse Autoencoders Reveal Causal Feature Hierarchies in Time Series Foundation Models
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DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization
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Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning
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DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval
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The Costs of Reproducibility in Music Separation Research: a Replication of Band-Split RNN
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Explainable Innovation Engine: Dual-Tree Agent-RAG with Methods-as-Nodes and Verifiable Write-Back
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$P^2$GNN: Two Prototype Sets to boost GNN Performance
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The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
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The Radio-Frequency Transformer for Signal Separation
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Evaluate-as-Action: Self-Evaluated Process Rewards for Retrieval-Augmented Agents
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Emotion is Not Just a Label: Latent Emotional Factors in LLM Processing
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Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
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Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption
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Geometry-Aware Metric Learning for Cross-Lingual Few-Shot Sign Language Recognition on Static Hand Keypoints
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PrivPRISM: Automatically Detecting Discrepancies Between Google Play Data Safety Declarations and Developer Privacy Policies
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Why LLMs Fail: A Failure Analysis and Partial Success Measurement for Automated Security Patch Generation
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SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language Models
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TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
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Embodied Human Simulation for Quantitative Design and Analysis of Interactive Robotics
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Distributed Convolutional Neural Networks for Object Recognition
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Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control
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LooComp: Leverage Leave-One-Out Strategy to Encoder-only Transformer for Efficient Query-aware Context Compression
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UniField: A Unified Field-Aware MRI Enhancement Framework
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Marginals Before Conditionals
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Cognitively Layered Data Synthesis for Domain Adaptation of LLMs to Space Situational Awareness
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How Contrastive Decoding Enhances Large Audio Language Models?
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Summarize Before You Speak with ARACH: A Training-Free Inference-Time Plug-In for Enhancing LLMs via Global Attention Reallocation
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HelixTrack: Event-Based Tracking and RPM Estimation of Propeller-like Objects
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BridgeDiff: Bridging Human Observations and Flat-Garment Synthesis for Virtual Try-Off
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RAE-NWM: Navigation World Model in Dense Visual Representation Space
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When Detectors Forget Forensics: Blocking Semantic Shortcuts for Generalizable AI-Generated Image Detection
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Towards Instance Segmentation with Polygon Detection Transformers
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Social-R1: Towards Human-like Social Reasoning in LLMs
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A Generative Sampler for distributions with possible discrete parameter based on Reversibility
