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An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction
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Kernel Single-Index Bandits: Estimation, Inference, and Learning
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Entropy trajectory shape predicts LLM reasoning reliability: A diagnostic study of uncertainty dynamics in chain-of-thought
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Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
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VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
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A conceptual framework for ideology beyond the left and right
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Context Bootstrapped Reinforcement Learning
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Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring
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BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery
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Maximum-Entropy Exploration with Future State-Action Visitation Measures
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Teleological Inference in Structural Causal Models via Intentional Interventions
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Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives
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Evaluating 5W3H Structured Prompting for Intent Alignment in Human-AI Interaction
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PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors
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Book your room in the Turing Hotel! A symmetric and distributed Turing Test with multiple AIs and humans
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The Global-Local loop: what is missing in bridging the gap between geospatial data from numerous communities?
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Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based models
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Ca2+ transient detection and segmentation with the Astronomically motivated algorithm for Background Estimation And Transient Segmentation (Astro-BEATS)
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Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis
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CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
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Foundations of Schrödinger Bridges for Generative Modeling
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Evaluating Game Difficulty in Tetris Block Puzzle
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Regret Bounds for Competitive Resource Allocation with Endogenous Costs
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RADIUS: Ranking, Distribution, and Significance - A Comprehensive Alignment Suite for Survey Simulation
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Unleashing the Power of Simplicity: A Minimalist Strategy for State-of-the-Art Fingerprint Enhancement
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AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
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EARTalking: End-to-end GPT-style Autoregressive Talking Head Synthesis with Frame-wise Control
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Hypothesis-Conditioned Query Rewriting for Decision-Useful Retrieval
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Security awareness in LLM agents: the NDAI zone case
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Generalized Hand-Object Pose Estimation with Occlusion Awareness
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What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?
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Behavioral Fingerprints for LLM Endpoint Stability and Identity
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Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference
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Rethinking MLLM Itself as a Segmenter with a Single Segmentation Token
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SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
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Beyond Weighted Summation: Learnable Nonlinear Aggregation Functions for Robust Artificial Neurons
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FUMO: Prior-Modulated Diffusion for Single Image Reflection Removal
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TerraScope: Pixel-Grounded Visual Reasoning for Earth Observation
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When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence
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Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation
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Man and machine: artificial intelligence and judicial decision making
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MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models
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Measuring 3D Spatial Geometric Consistency in Dynamic Generated Videos
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SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representation
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Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding
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SignAgent: Agentic LLMs for Linguistically-Grounded Sign Language Annotation and Dataset Curation
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Hardness of High-Dimensional Linear Classification
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Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception
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Parallelograms Strike Back: LLMs Generate Better Analogies than People
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Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus
