ziansu/awesome-llm-steering
A collection of papers related to steering of (multimodal) large language models.
This collection helps researchers and practitioners explore methods to precisely control the behavior and outputs of large language models (LLMs) and multimodal LLMs. It compiles academic papers, blogs, and tools that demonstrate how to influence what an AI model generates without needing to retrain it. The audience for this resource is AI researchers and ML engineers focusing on model interpretability, safety, and fine-grained control.
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Use this if you are an AI researcher or ML engineer looking for advanced techniques to understand, modify, or steer the internal workings and outputs of large language models.
Not ideal if you are a non-technical user simply looking for better ways to prompt an LLM or use an off-the-shelf AI application.
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Apache-2.0
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Last pushed
Sep 30, 2025
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