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University of Massachusetts Amherst
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Stop evaluating AI systems in isolation: marketplace dynamics like user switching and early-adoption advantages critically shape real-world success.
On-device RAG gets a major efficiency boost: a unified model slashes context size by 90% without sacrificing accuracy.
Forget sparse rewards: SLATE uses LLMs to judge each reasoning step, slashing gradient variance and boosting performance on retrieval-augmented reasoning tasks, especially for smaller models.