LLM Merging methods evaluated on GSM8K mathematical reasoning
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