What is SYMBOLIC-MOE?

SYMBOLIC-MOE is a Mixture-of-Experts framework that adaptively mixes pre-trained LLMs based on their specialized skills for specific tasks.

How does SYMBOLIC-MOE improve performance?

It outperforms baselines by 8.15% on average by recruiting the best LLMs for each problem and optimizing inference with batching.

It excels in education (e.g., math tutoring), healthcare (e.g., medical reasoning), and other domains requiring niche expertise.

Yes, it supports 16 LLMs on a single GPU and can scale with additional hardware for broader use.

Higher inference costs and reliance on small validation sets for skill profiling are its main drawbacks.

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