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Contextual Rollout Bandits: A Neural Scheduling Framework for Efficient Reinforcement Learning with Verifiable Rewards
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RICP: A Teacher-Student Framework for Retrieved In-Context Principles from Mistakes in LLMs
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Open-Weight AI Video Models Enable Non-Consensual Deepfake Imagery, Study Finds
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Eureka: An LLM-Driven Framework for Automated Feature Engineering in Enterprise AI
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HSIR: New Method Improves Self-Improvement Training for Large Reasoning Models
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