AI Research
Grab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives
Advancing parallel sequence generation through strategic future-aware objective compilation
Discrete diffusion models generate sequences by iteratively resolving multiple tokens in parallel, offering a flexible alternative to left-to-right generation. However, guiding this process with a sequence-level objective is difficult because the value of one unresolved token dep...
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ArXiv CS.AI
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ArXiv CS.AI
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This research introduces a novel framework that bridges the gap between parallel token generation and global sequence objectives in discrete diffusion models. By effectively looking ahead during the decoding process, it significantly improves the coherence and quality of complex generative tasks.
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