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#unstructured-data News & Analysis

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

2 articles
AIBearisharXiv – CS AI · Mar 56/10
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$\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge

Researchers introduced τ-Knowledge, a new benchmark for evaluating AI conversational agents in knowledge-intensive environments, specifically testing their ability to retrieve and apply unstructured domain knowledge. Even frontier AI models achieved only 25.5% success rates when navigating complex fintech customer support scenarios with 700 interconnected knowledge documents.

AIBullisharXiv – CS AI · Jun 96/10
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Larch: Learned Query Optimization for Semantic Predicates

Larch is a new optimization framework that improves the efficiency of semantic SQL queries by reducing token usage and computational costs when processing unstructured data with Large Language Models. The framework uses two approaches—reinforcement learning and supervised learning—to optimize the order of filter evaluation, achieving 3x-19x token cost reductions compared to existing solutions.