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Ecole Polytechnique
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Achieving 72.1% fewer reverse steps without sacrificing accuracy, \textsc{LESS} redefines efficiency in diffusion language models.
Iteratively prompting LLMs can either collapse diversity or maintain novelty, revealing a sensitivity to temperature and initial conditions that has implications for multi-agent systems.
