VecCISC filters equivalent, degenerate, or hallucinated reasoning traces via semantic clustering before critic evaluation, reducing token use by 47% with no loss in accuracy versus standard CISC.
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Align-Cultura introduces the CULTURAX dataset and shows that culturally fine-tuned LLMs improve joint HHH scores by 4-6%, cut cultural failures by 18%, and gain 10-12% efficiency with minimal leakage.
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VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer Selection
VecCISC filters equivalent, degenerate, or hallucinated reasoning traces via semantic clustering before critic evaluation, reducing token use by 47% with no loss in accuracy versus standard CISC.
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AlignCultura: Towards Culturally Aligned Large Language Models?
Align-Cultura introduces the CULTURAX dataset and shows that culturally fine-tuned LLMs improve joint HHH scores by 4-6%, cut cultural failures by 18%, and gain 10-12% efficiency with minimal leakage.