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#retrieval-optimization News & Analysis

2 articles tagged with #retrieval-optimization. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · 6h ago6/10
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Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses

Researchers introduce Harness-1, a 20B parameter search agent that separates semantic decision-making from state management by externalizing working memory to a stateful harness environment. The system achieves 73% average curated recall across eight retrieval benchmarks, outperforming comparable open-source searchers by 11.4 points while generalizing well to held-out transfer tasks.

AINeutralarXiv – CS AI · 6h ago6/10
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SkillPager: Query-Adaptive Intra-Skill Navigation via Semantic Node Retrieval

SkillPager is a novel retrieval framework that optimizes how large language model agents access long procedural documents by selecting minimal, execution-sufficient context from skill documents. The system achieves 78.89% sufficiency while reducing prompt tokens by 47.04% compared to full-document prompting, demonstrating that typed semantic granularity significantly improves efficiency in skill-based LLM agent systems.