Balance-Aware Pivot Selection for Parallel Diffusion LLM Decoding
Selects confident tokens near the centers of masked spans, allowing diffusion language models to fill separate spans in parallel. Studies how this ordering trades generation quality against decoding speed on math, code and instruction-following tasks.
First public: · Added to this list: October 22, 2026
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Alternative generation methods — Change how intermediate steps are generated, revised, or searched—for example, by refining several steps in parallel. Some produce written chains of thought.