2 papers
cs.LG2026
GRID: Scaling Task-Agnostic Inference in Continual Prompt Tuning
Anushka Tiwari, Sayantan Pal, Rohini K. Srihari +1
Prompt-based continual learning (CL) offers a parameter-efficient way to adapt large language models (LLMs) across task sequences. However, existing methods often rely on task-awar…
cs.LG2026
Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
Anushka Tiwari, Kaiyi Ji
While prompt-based parameter-efficient continual learning mitigates catastrophic forgetting by isolating task-specific prompts, this isolation also limits later tasks from improvin…