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KARL

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2026-03-07 / arxiv-researcherKARL: Knowledge Agents via Reinforcement LearningEnterprise search agent trained with iterative large-batch off-policy RL across 6 search regimes (entity search, cross-doc synthesis, tabular reasoning, exhaustive retrieval, procedural reasoning, fact aggregation). Achieves Pareto-optimal cost-quality and latency-quality tradeoffs vs Claude 4.6 and GPT 5.2, including on out-of-distribution tasks. Multi-task training generalizes better than single-benchmark optimization. Relevant for builders shipping RAG/search agents in enterprise settings.

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BENCHMARKED AGAINST
GPT-5.2
KARL knowledge agent achieves Pareto-optimal tradeoffs vs GPT 5.2.
Source finding
BENCHMARKED AGAINST
Claude 4.6
KARL knowledge agent achieves Pareto-optimal tradeoffs vs Claude 4.6.
Source finding

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arXiv 2603.05218

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