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[논문리뷰] MobilePA-Bench: Benchmarking Mobile Planner Agents on Complex Real-World Tasks

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[논문리뷰] LongWoF-Bench: Evaluating EvoMap Genes for Verifiable Long-Workflow Tasks

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[논문리뷰] Industrial-Instruction: An End-to-End Framework for Building Instruction-Tuning and Benchmark Datasets from Industrial Technical Reports

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[논문리뷰] Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning

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[논문리뷰] From Generation to Simulation: How Far Are World Models from Being True Simulators?

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[논문리뷰] EXPL-FR: Explaining Face Recognition Models via Vision-Language Alignment

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[논문리뷰] Better Retrieval, Worse Robustness:How Multi-hop RAG Amplifies Upstream ASR Errors

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