Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
Confidence-Based Decoding is Provably Efficient for Diffusion Language Models explores This paper provides a theoretical analysis of confidence-based decoding strategies for diffusion language models to improve sampling efficiency.. Commercial viability score: 3/10 in LLM Training.
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