Papers with pairwise transferability between tasks

1 papers
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks (2024.emnlp-main)

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Challenge: Experimental results show that instruction tuning improves zero-shot generalization across various tasks and improves performance of specific tasks.
Approach: They propose a task selection method that leverages instruction information alone to identify relevant tasks and optimize instruction tuning for specific tasks.
Outcome: The proposed method is significantly more efficient than traditional approaches, which require complex measurements of pairwise transferability between tasks or the creation of data samples for the target task.

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