Hoang Tran Vuong

CORE, a training-free harness from Qualcomm AI Research, splits retrieval into coarse and fine stages: a dense retriever returns whole passages, then token-level similarities from a late-interaction reranker are reused to hand the agent only the most relevant snippet from each passage. In controlled closed-search comparisons over fixed corpora, CORE reaches the highest answer accuracy and evidence recall in every model-benchmark group across three agent models and three benchmarks, with corpora ranging from 100K web documents to 553M ClimbMix documents.

CORE, a training-free harness from Qualcomm AI Research, splits retrieval into coarse and fine stages: a dense retriever returns whole passages, then token-level similarities from a late-interaction reranker are reused to hand the agent only the most relevant snippet from each passage. In controlled closed-search comparisons over fixed corpora, CORE reaches the highest answer accuracy and evidence recall in every model-benchmark group across three agent models and three benchmarks, with corpora ranging from 100K web documents to 553M ClimbMix documents.