AIBullisharXiv – CS AI · 9h ago6/10
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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.