Fine-grained stylistic control of LLMs using model arithmetic
We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.
In plain words
This framework provides fine-grained stylistic control of language model outputs by combining multiple models and system prompts using mathematical formulas. It enables users to adjust text generation style and blend outputs from different models with flexibility. The tool is designed for developers and researchers working with large language models who need precise control over generated text characteristics and want to experiment with combining multiple model approaches efficiently.
written from the facts on this page · September 2026
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