junchenzhi/Awesome-LLM-Ensemble
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
This is a curated list of research papers and implementations focusing on how to combine multiple large language models (LLMs) to improve their performance on various tasks. It categorizes different strategies for leveraging multiple LLMs together, whether before, during, or after they process information. Researchers, AI engineers, and machine learning practitioners who work with LLMs and want to explore advanced techniques for enhancing their capabilities would find this resource useful.
205 stars.
Use this if you are a researcher or practitioner building applications with Large Language Models and want to explore methods for combining multiple LLMs to achieve better results or handle complex queries.
Not ideal if you are a beginner looking for an introduction to how a single Large Language Model works or seeking practical, off-the-shelf LLM applications.
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205
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15
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HTML
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Apache-2.0
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Last pushed
Mar 12, 2026
Commits (30d)
0
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