In-Context Instruction Learning The authors introduce a nov | Data Science by ODS.ai 🦜
In-Context Instruction Learning
The authors introduce a novel approach called In-Context Instruction Learning (ICIL), which greatly enhances zero-shot task generalization performance for both pretrained and instruction-fine-tuned models. ICIL employs a single fixed prompt to evaluate all tasks, which is a concatenation of cross-task demonstrations. The authors demonstrate that even the most powerful instruction-fine-tuned baseline (text-davinci-003) benefits from ICIL by 9.3%, indicating that the effect of ICIL is complementary to instruction-based fine-tuning.
Paper: https://arxiv.org/abs/2302.14691
Code: https://github.com/seonghyeonye/ICIL
A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-icil
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