PolicyBench is the first large-scale US-China policy comprehension benchmark for LLMs with 21K cases, paired with PolicyMoE that performs best on application and structured reasoning tasks.
Autobench-v: Can large vision-language models benchmark themselves?arXiv preprint arXiv:2410.21259
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SkillGen synthesizes auditable skills from agent trajectories via contrastive induction on successes and failures, then verifies net performance impact by comparing outcomes with and without the skill on identical tasks.
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PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
PolicyBench is the first large-scale US-China policy comprehension benchmark for LLMs with 21K cases, paired with PolicyMoE that performs best on application and structured reasoning tasks.
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SkillGen: Verified Inference-Time Agent Skill Synthesis
SkillGen synthesizes auditable skills from agent trajectories via contrastive induction on successes and failures, then verifies net performance impact by comparing outcomes with and without the skill on identical tasks.