RICE-PO is a policy optimization framework that converts retrieval interactions into credit signals for latent reasoning steps in agents by selecting high-uncertainty actions as anchors and propagating credit based on influence strength and residual stability, outperforming baselines on BRIGHT and B
Neuralmind-unicamp at 2022 trec neuclir: Large boring rerankers for cross-lingual retrieval.arXiv preprint arXiv:2303.16145, 2023
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RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents
RICE-PO is a policy optimization framework that converts retrieval interactions into credit signals for latent reasoning steps in agents by selecting high-uncertainty actions as anchors and propagating credit based on influence strength and residual stability, outperforming baselines on BRIGHT and B