#semantic-filtering News & Analysis

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

2 articles

AIBullisharXiv – CS AI · Jun 96/10

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Fast LLM-Based Semantic Filtering: From a Unified Framework to an Adaptive Two-Phase Method

Researchers present an adaptive two-phase semantic filtering method that improves LLM-based document classification efficiency by 1.6-2.0x compared to existing approaches. The method combines model-free clustering with online proxy training using soft labels and adaptive calibration, achieving 90% accuracy targets while reducing expensive LLM oracle calls.

AIBullisharXiv – CS AI · May 116/10

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VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer Selection

Researchers propose VecCISC, an optimization framework for weighted majority voting in large language models that reduces computational costs by 47% while maintaining accuracy. The method filters redundant or hallucinated reasoning traces using semantic similarity before evaluation, addressing the expensive overhead of confidence-scoring multiple candidate answers.