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A Survey on In-Context Learning
Survey notes on in-context learning (ICL) - a paradigm for LLMs to learn tasks from few examples without parameter updates. Covers ICL mechanisms, prompt engineering, and comparison of causalLM vs prefixLM.
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Transformer Basics: Architecture and Data Flow
Understanding the transformer architecture from model layers and token sequence perspectives
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HippoRAG: Neurobiologically Inspired Long-Term Memory for LLMs
Paper reading notes on HippoRAG - using knowledge graphs and PageRank for better RAG retrieval