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Integrating Large Language Models and Graph Convolutional Networks for Semi-Supervised Image Classification
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Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows
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Beyond Metadata CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging
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A Coreset Selection Framework with Ensemble Aggregation for Image Classification
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Solving Stochastic Fixed-Point Equations with High Probability
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L-MAD A Systematic Evaluation of Multi-Agent Debate Structures in Legal Reasoning
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Event-Based Token Sequences for Audio-Conditioned Music-Game Level Modeling
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PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation
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EXHOLD Experience-Aware Real-Time Hold Control for Large-Scale Ride-Hailing Matching at DiDi
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Beyond Time Shifts Adapting Omni LLM as a Reference-Free Evaluator for Generative Audio-Visual Models
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AgentKGV Agentic LLM-RAG Framework with Two-Stage Training for the Fact Verification of Knowledge Graphs
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DETRAM End-to-End Detection Tracking and Recovery of Human Meshes
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Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests
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REBASE Reference Background Subspace Elimination for Training Free In-Context Segmentation
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