A survey that defines Compound AI Systems, proposes a multi-dimensional taxonomy based on component roles and orchestration strategies, reviews four foundational paradigms, and identifies key challenges for future research.
Mary L McHugh
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LePREC combines LLM-generated analytical QA factors with sparse linear classification to achieve 30-40% better precision than pure LLMs in identifying relevant legal issues from court cases.
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From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems
A survey that defines Compound AI Systems, proposes a multi-dimensional taxonomy based on component roles and orchestration strategies, reviews four foundational paradigms, and identifies key challenges for future research.
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LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
LePREC combines LLM-generated analytical QA factors with sparse linear classification to achieve 30-40% better precision than pure LLMs in identifying relevant legal issues from court cases.