LLM Merging Methods for Question Answering (QA) Tasks

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/r1587745
Cited by: 0

Abstract

This table analyzes LLM merging approaches applied to question answering tasks, covering both factual and reasoning-based benchmarks. It examines merging methods, training dependencies, and computational cost.

Fields of Study & Subjects

Topic Modeling Natural Language Processing Techniques Multimodal Machine Learning Applications

Publication details

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