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GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models (ICLR 2026 Supplement)
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This codebase accompanies our ICLR 2026 submission “GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models” and is built on the ICLR 2023 “Progressive Prompts: Continual Learning for Language Models” implementation. It has been cleaned and anonymized for review.
Note:
	1. The codebase has been provided to check the basic implementation of our proposed methodology.
	2. Upon acceptance, the full code will be released with all additional data sources and all functions will include docstrings to explain their usage and utility.
	3. We have provided only a few representative data samples for quality checks:
		a. Train datasets (in the "train" directory)
		b. Test datasets (in the "test" directory)
