AINeutralarXiv – CS AI · 7h ago6/10
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GRID: Scaling Task-Agnostic Inference in Continual Prompt Tuning
Researchers introduce GRID, a framework addressing scalability and task-agnostic inference challenges in continual prompt tuning for large language models. The method combines output-aware decoding with gradient-guided prompt selection to improve backward transfer while reducing memory consumption across multiple LLM architectures.