seonghyeonye/Flipped-Learning
[ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
This project offers an improved method for making large language models (LLMs) like T5 better at performing tasks they haven't been explicitly trained for, also known as zero-shot learning. It takes an existing LLM and enhances its ability to understand implied instructions, leading to more accurate text generation, summarization, or classification. Machine learning researchers and NLP practitioners working with LLMs would find this useful.
117 stars. No commits in the last 6 months.
Use this if you are developing or fine-tuning large language models and want to improve their performance on new, unseen tasks without extensive retraining.
Not ideal if you are looking for a plug-and-play application for end-users, rather than a research framework to enhance existing language models.
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117
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10
Language
Python
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Last pushed
Jun 28, 2025
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