SPARC tunes tiny prompts in a PCA-compressed subspace of the task data, claiming almost no forgetting and very few trainable parameters for continual learning in LLMs.
Beyond traditional benchmarks: Analyzing behaviors of open llms on data-to-text generation,
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SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
SPARC tunes tiny prompts in a PCA-compressed subspace of the task data, claiming almost no forgetting and very few trainable parameters for continual learning in LLMs.