#semantic-analysis2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago5

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Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning

Researchers introduce Latent Self-Consistency (LSC), a new method for improving Large Language Model output reliability across both short and long-form reasoning tasks. LSC uses learnable token embeddings to select semantically consistent responses with only 0.9% computational overhead, outperforming existing consistency methods like Self-Consistency and Universal Self-Consistency.

AINeutralarXiv – CS AI · 4h ago0

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Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning

Researchers propose LEMP4HG, a new language model-enhanced approach for improving graph neural networks on heterophilic graphs where connected nodes have different characteristics. The method leverages language models to better understand semantic relationships between text-attributed nodes, outperforming existing methods while maintaining efficiency through selective message enhancement.