TA-LoRA separates shared and task-specific knowledge inside prompt tuning using a shared low-rank matrix B with task-specific rank-1 factors, and reports strong gains over full fine-tuning on Chinese multi-task benchmarks.
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Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation
TA-LoRA separates shared and task-specific knowledge inside prompt tuning using a shared low-rank matrix B with task-specific rank-1 factors, and reports strong gains over full fine-tuning on Chinese multi-task benchmarks.