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Unified Removal of Raindrops and Reflections: A New Benchmark and A Novel Pipeline
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ProgressiveAvatars: Progressive Animatable 3D Gaussian Avatars
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TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas
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TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection
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RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments
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Evo-Retriever: LLM-Guided Curriculum Evolution with Viewpoint-Pathway Collaboration for Multimodal Document Retrieval
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DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learning
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Are a Thousand Words Better Than a Single Picture? Beyond Images -- A Framework for Multi-Modal Knowledge Graph Dataset Enrichment
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GAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models
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Linearized Bregman Iterations for Sparse Spiking Neural Networks
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Follow the Clues, Frame the Truth: Hybrid-evidential Deductive Reasoning in Open-Vocabulary Multimodal Emotion Recognition
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Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
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The State of Generative AI in Software Development: Insights from Literature and a Developer Survey
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Breaking the Chain: A Causal Analysis of LLM Faithfulness to Intermediate Structures
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Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function
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DST-Net: A Dual-Stream Transformer with Illumination-Independent Feature Guidance and Multi-Scale Spatial Convolution for Low-Light Image Enhancement
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On the Emotion Understanding of Synthesized Speech
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Implementation of tangent linear and adjoint models for neural networks based on a compiler library tool
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Unlearning for One-Step Generative Models via Unbalanced Optimal Transport
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ExpressMind: A Multimodal Pretrained Large Language Model for Expressway Operation
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AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents
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Bridging the High-Frequency Data Gap: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models
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From the Inside Out: Progressive Distribution Refinement for Confidence Calibration
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Rewarding DINO: Predicting Dense Rewards with Vision Foundation Models
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VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse Observations
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FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
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An approximate graph elicits detonation lattice
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Exploring different approaches to customize language models for domain-specific text-to-code generation
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SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
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Designing for Disagreement: Front-End Guardrails for Assistance Allocation in LLM-Enabled Robots
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Rethinking Pose Refinement in 3D Gaussian Splatting under Pose Prior and Geometric Uncertainty
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How often do Answers Change? Estimating Recency Requirements in Question Answering
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DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis
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SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation
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Bridging the Simulation-to-Reality Gap in Electron Microscope Calibration via VAE-EM Estimation
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CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation
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EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models
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BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs
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Segmentation-Based Attention Entropy: Detecting and Mitigating Object Hallucinations in Large Vision-Language Models
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Understanding Cell Fate Decisions with Temporal Attention
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Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range
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VideoMatGen: PBR Materials through Joint Generative Modeling
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Characterizing Delusional Spirals through Human-LLM Chat Logs
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Manifold-Matching Autoencoders
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Deep Tabular Representation Corrector
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Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration
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Malicious Or Not: Adding Repository Context to Agent Skill Classification
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Diverging Transformer Predictions for Human Sentence Processing: A Comprehensive Analysis of Agreement Attraction Effects
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REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models
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When and Why Does Unsupervised RL Succeed in Mathematical Reasoning? A Manifold Envelopment Perspective
