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ServiceNow Research, University of British Columbia
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Intra-context conflicts in retrieval-augmented generation can be effectively resolved by a dual-confidence approach, leading to significant performance improvements in answering complex queries.
Local Branch Routing enables language models to leverage contextual evidence for decision-making without the computational burden of full solution searches, leading to substantial improvements in reasoning accuracy.
Agents still struggle to accurately predict personalized workflows, with current models showing significant room for improvement despite promising advancements.
Topic metadata can dramatically enhance retrieval efficiency in RAG systems, achieving over 8 times faster performance without sacrificing evidence quality.
