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Instruction-tuning can be substantially optimized through enhanced diversity, resulting in models capable of handling a broader spectrum of tasks.
Report on a general problem solving program
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Scaling instruction-finetuned language models
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Towards reasoning in large language models: A survey
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Multitask prompted training enables zero-shot task generalization
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Finetuned language models are zero-shot learners
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Instructuie: Multi-task instruction tuning for unified information extraction
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Chatgpt: Optimizing language models for dialogue
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Self-instruct: Aligning language model with self generated instructions
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