Evaluation Setting of Merging Large Language Models with Heterogeneous Architecture

Open Research Knowledge Graph (ORKG) 2026 Dataset Open access

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Authors: Furel TEGUIMENE YENDJI, Azanzi Jiomekong, Sanju Mishra Tiwari
DOI: 10.48366/r1585706
Cited by: 0

Abstract

This comparison table presents the experimental evaluation settings used for merging large language models with heterogeneous architectures, including the datasets, tasks, architecture, evaluation metrics, model combinations, and baseline methods employed to assess merging performance.

Fields of Study & Subjects

Topic Modeling Natural Language Processing Techniques Advanced Neural Network Applications

Publication details

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