SeLaR: Selective Latent Reasoning in Large Language Models
SeLaR: Selective Latent Reasoning in Large Language Models explores SeLaR is a training-free framework that selectively uses latent reasoning to improve LLM performance on complex reasoning tasks.. Commercial viability score: 7/10 in LLM Reasoning.
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