karl.pdf

databricks.com · 8,227 words · saved by 1 readers

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KARL: Knowledge Agents via Reinforcement Learning Databricks AI Research∗ ∗ Please see Contributions for Full List We present a system for training enterprise search agents via reinforcement learning that achieves state-of-the-art performance across a diverse suite of hard-to-verify agentic search tasks. Our work makes four core contributions. First, we introduce KARLBench, a multi-capability evaluation suite spanning six distinct search regimes, including…

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Katherine Driscoll

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