Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks

Recent advancements in Large Language Models (LLMs) have demonstrated exceptional capabilities in natural language understanding and generation. While these models excel in general complex reasoning tasks, they still face challenges in mathematical problem-solving and logical reasoning. To address t...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Manduzio, Graziano A, Galatolo, Federico A, Mario G C A Cimino, Enzo Pasquale Scilingo, Cominelli, Lorenzo
Format:	Artikel
Sprache:	eng
Schlagworte:	Cognition & reasoning Computer programming Datasets Functions (mathematics) Large language models Problem solving Query processing Reasoning Scale models Speech recognition Task complexity
Online-Zugang:	Volltext
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