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Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
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LightMedSeg: Lightweight 3D Medical Image Segmentation with Learned Spatial Anchors
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A Hybrid LTR-based System via Social Context Embedding for Recommending Solutions of Software Bugs in Developer Communities
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Conditional Rank-Rank Regression via Deep Conditional Transformation Models
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Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
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Single Image Super-Resolution via Bivariate `A Trous Wavelet Diffusion
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HY-WU (Part I): An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing
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Scaling Self-Supervised Speech Models Uncovers Deep Linguistic Relationships: Evidence from the Pacific Cluster
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FabricGen: Microstructure-Aware Woven Fabric Generation
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Rethinking Deep Research from the Perspective of Web Content Distribution Matching
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PresentBench: A Fine-Grained Rubric-Based Benchmark for Slide Generation
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LEPA: Learning Geometric Equivariance in Satellite Remote Sensing Data with a Predictive Architecture
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LF2L: Loss Fusion Horizontal Federated Learning Across Heterogeneous Feature Spaces Using External Datasets Effectively: A Case Study in Second Primary Cancer Prediction
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Learning When to Cooperate Under Heterogeneous Goals
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Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series
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Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving
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Adaptive Double-Booking Strategy for Outpatient Scheduling Using Multi-Objective Reinforcement Learning
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VisualDeltas: Learning Preferences from Visual Quality Perturbations
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Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
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Fast and Flexible Audio Bandwidth Extension via Vocos
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Taiwan Safety Benchmark and Breeze Guard: Toward Trustworthy AI for Taiwanese Mandarin
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Do Deployment Constraints Make LLMs Hallucinate Citations? An Empirical Study across Four Models and Five Prompting Regimes
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Virtual Try-On for Cultural Clothing: A Benchmarking Study
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MAviS: A Multimodal Conversational Assistant For Avian Species
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A Cortically Inspired Architecture for Modular Perceptual AI
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Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms
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AutoResearch-RL: Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery
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Training for Trustworthy Saliency Maps: Adversarial Training Meets Feature-Map Smoothing
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Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions
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StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
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Data-Driven Hints in Intelligent Tutoring Systems
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Adversarial Latent-State Training for Robust Policies in Partially Observable Domains
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Faster-HEAL: An Efficient and Privacy-Preserving Collaborative Perception Framework for Heterogeneous Autonomous Vehicles
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Shutdown Safety Valves for Advanced AI
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FinSheet-Bench: From Simple Lookups to Complex Reasoning, Where LLMs Break on Financial Spreadsheets
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ShakyPrepend: A Multi-Group Learner with Improved Sample Complexity
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Norm-Hierarchy Transitions in Representation Learning: When and Why Neural Networks Abandon Shortcuts
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The Third Ambition: Artificial Intelligence and the Science of Human Behavior
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To Predict or Not to Predict? Towards reliable uncertainty estimation in the presence of noise
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Self-Supervised Evolutionary Learning of Neurodynamic Progression and Identity Manifolds from EEG During Safety-Critical Decision Making
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VisualScratchpad: Inference-time Visual Concepts Analysis in Vision Language Models
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Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
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A Lightweight Digital-Twin-Based Framework for Edge-Assisted Vehicle Tracking and Collision Prediction
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Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
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Learning Concept Bottleneck Models from Mechanistic Explanations
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How Much Noise Can BERT Handle? Insights from Multilingual Sentence Difficulty Detection
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Learning Clinical Representations Under Systematic Distribution Shift
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A Distributed Gaussian Process Model for Multi-Robot Mapping
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AgrI Challenge: A Data-Centric AI Competition for Cross-Team Validation in Agricultural Vision
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Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems
