Sihang Jiang
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The paper introduces PlanRAG, a framework for Retrieval-Augmented Generation (RAG) that models exploratory reasoning problems as logical query trees, addressing representation and optimization gaps between structured SQL and unstructured natural language.
Researchers introduce a multi-layer taxonomy of capabilities for large language models based on human cognitive science, mapping 15,934 LLM-focused papers and demonstrating operational utility.
Papers
From Isolated Tasks to Structured Capabilities: A Multilayer Taxonomy for Large Language Models
Shixin Fang, Jiachen Wo, Wenjuan Qin, Sihang Jiang +1 more
Researchers introduce a multi-layer taxonomy of capabilities for large language models based on human cognitive science, mapping 15,934 LLM-focused papers and demonstrating operational utility.