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AutORAN: LLM-driven Natural Language Programming for Agile xApp Development
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Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media
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DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units
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Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
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ZEBRAARENA: A Diagnostic Simulation Environment for Studying Reasoning-Action Coupling in Tool-Augmented LLMs
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Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset
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Learning to Self-Evolve
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OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data
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REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
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GenVideoLens: Where LVLMs Fall Short in AI-Generated Video Detection?
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GEAR: Geography-knowledge Enhanced Analog Recognition Framework in Extreme Environments
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Agentic Flow Steering and Parallel Rollout Search for Spatially Grounded Text-to-Image Generation
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D-Mem: A Dual-Process Memory System for LLM Agents
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An Onto-Relational-Sophic Framework for Governing Synthetic Minds
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SwiftGS: Episodic Priors for Immediate Satellite Surface Recovery
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Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering
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MOSAIC: Multi-Objective Slice-Aware Iterative Curation for Alignment
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PhysVideo: Physically Plausible Video Generation with Cross-View Geometry Guidance
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A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Sufficient Convergence Conditions and Mixing Time Analysis under Gaussian Targets
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A Comparative Empirical Study of Catastrophic Forgetting Mitigation in Sequential Task Adaptation for Continual Natural Language Processing Systems
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Evaluating Model-Free Policy Optimization in Masked-Action Environments via an Exact Blackjack Oracle
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MeInTime: Bridging Age Gap in Identity-Preserving Face Restoration
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Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection
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Click-to-Ask: An AI Live Streaming Assistant with Offline Copywriting and Online Interactive QA
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Benchmarking PDF Parsers on Table Extraction with LLM-based Semantic Evaluation
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Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
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Balanced Thinking: Improving Chain of Thought Training in Vision Language Models
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Enhancing Multi-Corpus Training in SSL-Based Anti-Spoofing Models: Domain-Invariant Feature Extraction
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Multimodal Model for Computational Pathology:Representation Learning and Image Compression
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Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric Reasoning
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Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels
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MANAR: Memory-augmented Attention with Navigational Abstract Conceptual Representation
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Cognitive Amplification vs Cognitive Delegation in Human-AI Systems: A Metric Framework
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Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models
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Revisiting Label Inference Attacks in Vertical Federated Learning: Why They Are Vulnerable and How to Defend
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HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning
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STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation
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Voice Privacy from an Attribute-based Perspective
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OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation
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Spectral Tempering for Embedding Compression in Dense Passage Retrieval
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Off-Policy Learning with Limited Supply
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From ex(p) to poly: Gaussian Splatting with Polynomial Kernels
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Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
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Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
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MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution
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Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer
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Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures
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CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks
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EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation
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Measuring and Exploiting Confirmation Bias in LLM-Assisted Security Code Review
