zjunlp/knowledge-rumination
[EMNLP 2023] Knowledge Rumination for Pre-trained Language Models
This project helps natural language processing researchers improve how pre-trained language models answer complex, multi-turn questions. You provide a language model and a dataset of conversational questions, and the project outputs an enhanced model better at recalling and applying relevant information across an ongoing conversation. This is ideal for NLP scientists or machine learning engineers working on advanced question-answering systems.
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Use this if you are developing conversational AI or question-answering systems and need to enhance your language model's ability to maintain context and recall information over multiple turns.
Not ideal if you are looking for a simple, off-the-shelf solution for single-turn question answering or if you are not comfortable working with command-line tools for model training.
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Language
Python
License
MIT
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Last pushed
Jun 29, 2023
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