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Rafael Costa

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Open access Jul 2026

Adaptive Window Diffusion Decoding for Long-Context Language Generation Under Memory Constraints

Adaptive Window Diffusion Decoding (AWDD) is proposed, a memory-budgeted inference framework that adjusts window size, overlap commitment, and context-summary capacity according to observable uncertainty in the partially masked sequence to improve long-range entity reconstruction over fixed-window baselines.

N. Petrov, Rafael Costa, Clara Hoffmann · 0 citations