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From Snapshots to Symphonies: The Evolution of Protein Prediction from Static Structures to Generative Dynamics and Multimodal Interactions
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Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM
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Foundations and Architectures of Artificial Intelligence for Motor Insurance
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OnlinePG: Online Open-Vocabulary Panoptic Mapping with 3D Gaussian Splatting
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CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution
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On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization
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Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models
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3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
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Correlation-Weighted Multi-Reward Optimization for Compositional Generation
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When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making
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Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
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Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
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Data-efficient pre-training by scaling synthetic megadocs
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Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration
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Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning
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iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery
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GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data
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Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
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SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement
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CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
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HEP Statistical Inference for UAV Fault Detection: CLs, LRT, and SBI Applied to Blade Damage
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SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks
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Learning Decision-Sufficient Representations for Linear Optimization
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End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration
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Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition
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HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering
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CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
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Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably
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Transformers Learn Robust In-Context Regression under Distributional Uncertainty
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SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
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Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
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CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
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UEPS: Robust and Efficient MRI Reconstruction
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Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation
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MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning
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ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
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WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network
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Breaking Hard Isomorphism Benchmarks with DRESS
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HCAG: Hierarchical Abstraction and Retrieval-Augmented Generation on Theoretical Repositories with LLMs
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DAPA: Distribution Aware Piecewise Activation Functions for On-Device Transformer Inference and Training
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HAViT: Historical Attention Vision Transformer
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Color image restoration based on nonlocal saturation-value similarity
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AU Codes, Language, and Synthesis: Translating Anatomy to Text for Facial Behavior Synthesis
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From Human Interfaces to Agent Interfaces: Rethinking Software Design in the Age of AI-Native Systems
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Language Model Maps for Prompt-Response Distributions via Log-Likelihood Vectors
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Elastic Weight Consolidation Done Right for Continual Learning
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myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition
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Complementary Text-Guided Attention for Zero-Shot Adversarial Robustness
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SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation
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Improving Joint Audio-Video Generation with Cross-Modal Context Learning
