FRLog: Log Anomaly Detection Based on Three-Stage Training with Reft Fine-Tuning for Large Language Model

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S3diff: Semantic Fusion and Structure-Guided Global Generation from a Single Image with Diffusion Models

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Modeling of defensive actions for protecting military and civilian facilities from massive wave attacks by enemy strike drones

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Development of a partially supervised Markov decision-making model for a 3-link collaborative robot-manipulator

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Numerical investigation of a lifted methane/air jet flame using stochastic map-based turbulence modeling

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Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder

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Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression

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What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control

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MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives

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Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems

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HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation

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Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis

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Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling

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When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models

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Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision

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Molecular ISAC via Markov State-Space Modeling: Joint Distance Sensing and Data Detection

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Impact-Driven Quantum Decomposition for Traffic Zone Partitioning: A Hybrid Gate-Model Framework

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Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation

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PubMed-Ophtha: An open resource for training ophthalmology vision-language models on scientific literature

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OphMAE: Bridging Volumetric and Planar Imaging with a Foundation Model for Adaptive Ophthalmological Diagnosis

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