How Many Data Samples is an Additional Instruction Worth?

• URL: http://arxiv.org/abs/2203.09161v2
• Date: Fri, 18 Mar 2022 02:18:54 GMT
• Title: How Many Data Samples is an Additional Instruction Worth?
• Authors: Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar and Chitta Baral
• Abstract summary: Recently introduced instruction-paradigm empowers non-expert users to leverage NLP resources by defining a new task in natural language. Our results indicate that an additional instruction can be equivalent to 200 data samples on average across tasks.
• Score: 20.66688303609522
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recently introduced instruction-paradigm empowers non-expert users to leverage NLP resources by defining a new task in natural language. Instruction-tuned models have significantly outperformed multitask learning models (without instruction); however they are far from state of the art task specific models. Conventional approaches to improve model performance via creating large datasets with lots of task instances or architectural/training changes in model may not be feasible for non-expert users. However, they can write alternate instructions to represent an instruction task. Is Instruction-augumentation helpful? We augment a subset of tasks in the expanded version of NATURAL INSTRUCTIONS with additional instructions and find that these significantly improve model performance (up to 35%), especially in the low-data regime. Our results indicate that an additional instruction can be equivalent to ~200 data samples on average across tasks.

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