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DIP: Dynamic In-Context Planner For Diffusion Language Models

DIP is proposed, a context-optimization algorithm based on average verified confidence that dynamically ranks and inserts in-context examples during generation, rather than providing all examples up front.

Yang Li, Han Meng, Chenan Wang et al. · 1 citation

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