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Found 2 papers, 2 papers with code
Parameter Competition Balancing for Model Merging
Recently developed model merging techniques enable the direct integration of multiple models, each fine-tuned for distinct tasks, into a single model.
Knowledge Fusion By Evolving Weights of Language Models
Fine-tuning pre-trained language models, particularly large language models, demands extensive computing resources and can result in varying performance outcomes across different domains and datasets.
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