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Princeton University
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Skill-switching accuracy in LLMs drops significantly on complex tasks, but a new training approach boosts performance from 34.4% to 68.4% on challenging benchmarks.
Agents can exhibit significant performance gains from retained experience, but the pathways to these improvements are often unclear and model-dependent.
