LLM Merging methods evaluated on GSM8K mathematical reasoning

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Authors: Furel TEGUIMENE YENDJI, Azanzi Jiomekong, Sanju Mishra Tiwari
Cited by: 0

Abstract

This table presents LLM merging methods evaluated on the GSM8K benchmark, a widely used dataset for multi-step arithmetic reasoning. It compares merge space, training dependencies, resource requirements, and reported key findings.

Fields of Study & Subjects

Topic Modeling Domain Adaptation and Few-Shot Learning Advanced Neural Network Applications

Publication details

Journal / source
Open Research Knowledge Graph (ORKG)
Publication date
8 March 2026
Language
EN
Document type
Dataset