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AI+医疗机器人教育金融能源健康娱乐思考
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研究AegisFlow: A Multi-Agent Agentic AI Framework for Autonomous Remediation and Self-Healing in Fragile Data Ecosystems(arxiv.org)
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182
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研究TEMPEST: Temporal Embeddings for Scalable Driver Identification via Angular Margin Learning(arxiv.org)
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183
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AI+医疗GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets(arxiv.org)
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184
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AI+医疗Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning(arxiv.org)
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185
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研究FluidPD: In-Place Elasticity for SLO-Aware Prefill-Decode Disaggregated LLM Serving(arxiv.org)
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186
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研究When Does External Guidance Help LLM Reasoning? A Bias-Variance Theory of Guidance-Augmented GRPO(arxiv.org)
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187
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研究Topology-Consistent Task Planning over Cellular Workflow Complexes for LLM-based Agents(arxiv.org)
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188
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AI+医疗Offline AI Modules: Voice-First Offline Architecture, Hardware Reference Stack, Quantization and Benchmarking(arxiv.org)
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189
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AI+医疗Text2Dashboard: A Governed Agent Architecture for Natural-Language Dashboard Generation over Enterprise DataBrain(arxiv.org)
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190
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研究EPOCH: Reliable Discovery through Evidence-Governed Search(arxiv.org)
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191
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研究RadOnc-Agent: An LLM-Orchestrated Framework for AI Workflows Across the Radiotherapy Care Pathway(arxiv.org)
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192
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研究When better traffic forecasts fail to improve signal control: a layered diagnostic study of forecast-to-decision value(arxiv.org)
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193
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研究Anchor Divergence for Semantic Geometry in Contrastive Learning(arxiv.org)
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194
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研究Learning When to Refine: Long-Horizon Reinforcement Learning for Budgeted Neural-Operator PDE Solvers(arxiv.org)
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195
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研究Joint upper-bound coverage and route-choice utility: an empirical evaluation on two urban proxy tasks(arxiv.org)
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196
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AI+医疗When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models(arxiv.org)
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197
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AI+医疗Comparative review of hybrid forecasting models for short-term prediction of building thermal load(arxiv.org)
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198
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研究AttSVD:Prompt-Adaptive Low-Rank KV Cache Compression via Attention-Guided SVD(arxiv.org)
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199
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研究Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment(arxiv.org)
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AI+医疗Principles that Guide, Actions that Inform: Agent Evolution via Knowledge Abstraction(arxiv.org)
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