Preprint
Oct 2026
Learning to Program Retrievals: Composing Search Primitives via Reinforcement Learning
Retrieval-augmented language models increasingly use multi-step search to solve knowledge-intensive tasks, yet existing systems typically expose retrieval through fixed pipelines or collections of atomic tools. We introduce Retrieval Program Learning (RPL), a programmable search framework that allows a policy to compos...
Kyuyoung Kim, Zilin Xiao, Zhi-Yuan Wang et al.
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