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LLMs1 min read
Researchers propose RMDM, a masked diffusion model that uses text representations to coordinate parallel token updates, leading to improved generation quality, especially in aggressive sampling regimes. This framework addresses incoherence issues in existing parallel sampling methods.
From arXiv cs.CL
LLMs1 min read
The research introduces Chopthin-Consensus Power Sampling (CCPS), a method for LLM decoding that preserves reasoning diversity and improves accuracy. Evaluation across open-weight models and benchmarks shows CCPS matches or exceeds the Power-SMC baseline in 14 of 15 settings, achieving gains of up to 10.6 percentage points.
From arXiv cs.CL
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