This table analyzes weight-space LLM merging approaches that operate directly on model parameters. It characterizes their architectural constraints, training requirements, computational cost, experime
This table compares output-space LLM merging methods, where models are combined at the level of generated responses rather than internal parameters. It analyzes their usion strategies, architectural a
