ReaLLM


Reasoning for LLM (ReaLLM) combines rigorous automated reasoning techniques with large language models to provide a generative AI that is intelligent and reliable.

Intelligent

ReaLLM adopts the latest LLMs from the market. From math, coding, to medical diagnosis and legal document processing, it's as capable as the best.

Reliable

A deep integration with automated reasoning techniques ensures that the responses of LLMs are logically consistent and trustworthy. It's not about accuracy -- ReaLLM doesn't go wrong.

Overview


ReaLLM integrates a variety of formal methods and automated reasoning techniques, including program refinement, verification, first-order logic solving, with LLMs at different levels. This integration and interaction between the two technologies guides the LLM into making correct responses. Like the simplified view below.

overview

In math reasoning benchmarks, it correctly solves 11% more problems than GPT4 + CoT, and more importantly, it doesn't give wrong answers!

Benchmark

See it live:

ReaLLM for Math

ReaLLM for Health

Conference Paper.

Applications


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