chrisliu298/awesome-representation-engineering
A resource repository for representation engineering in large language models
This is a curated collection of the latest academic papers and resources focused on Representation Engineering in large language models. It provides researchers and practitioners with a structured overview of techniques to understand and control how LLMs process information internally. You can explore papers related to steering LLM behavior, understanding model internals, and enhancing trustworthiness, making it easier to stay current with this rapidly evolving field.
149 stars. No commits in the last 6 months.
Use this if you are an AI researcher, machine learning engineer, or a data scientist working with large language models and need to find the most recent academic literature on representation engineering techniques.
Not ideal if you are looking for ready-to-use code implementations or beginner-friendly tutorials on how to apply LLM representation engineering in a practical application.
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Nov 14, 2024
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