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Improving AI Safety with Annotator Policy Models

Discover how Annotator Policy Models enhance AI safety by resolving annotation disagreements and clarifying policy ambiguities effectively.

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Discover Poly-EPO, a novel framework enhancing language models through optimistic exploration and set reinforcement learning for better reasoning.

HWE-Bench: Real-World Benchmark for Hardware Bug Repair

Discover HWE-Bench, the first large-scale benchmark evaluating LLM agents on real-world hardware bug repair tasks across major open-source projects.

HiMAC: Hierarchical Learning for Long-Horizon LLM Agents

Discover HiMAC, a hierarchical learning framework boosting long-horizon planning and execution in LLM agents with improved efficiency and performance.

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