FactAlign
Collection
Models and datasets of our EMNLP 2024 paper "FactAlign: Long-form Factuality Alignment of Large Language Models"
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7 items
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This model is aligned with our FactAlign framework for improved long-form factuality, from Columbia-NLP/gemma-2b-zephyr-sft.
For more information, please refer to our paper: FactAlign: Long-form Factuality Alignment of Large Language Models.