awesome-refreshing-llms
EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
https://github.com/hyintell/awesome-refreshing-llms
Last synced: 20 days ago
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📢 News
📃 Papers
Internet-enhanced
Knowledge Editing
💻 Resources
Related Survey
- Augmented Language Models: a Survey
- The Life Cycle of Knowledge in Big Language Models: A Survey
- Interactive Natural Language Processing
- Editing Large Language Models: Problems, Methods, and Opportunities
- Tool Learning with Foundation Models
- Unifying Large Language Models and Knowledge Graphs: A Roadmap
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
- Large Language Models for Information Retrieval: A Survey
- A Review on Language Models as Knowledge Bases
- A Survey of Knowledge-enhanced Text Generation
- A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
- A Survey on Knowledge-Enhanced Pre-trained Language Models
- Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering
- Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Tools
- LangChain
- ChatGPT plugins - to-date information, run computations, or use third-party services.
- EasyEdit - to-use Knowledge Editing Framework for LLMs.
- FastEdit
- PyContinual
- Avalanche - to-End Library for Continual Learning based on PyTorch.