CT-Merging: Consensus Directions and Task-Specific Scaling for LoRA Adapter Merging

arXiv:2607.20561 · cs.LG, cs.CV · Submitted 2026-07-18 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-07-18

Updated: 2026-09-25

Terminology

• Model Merging — 16× in this paper · explained in 2 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Benchmark — 12× in this paper · explained in 2 episodes
• LoRA Adapters — 7× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Task Arithmetic — 4× in this paper
• Downstream Tasks — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 2× in this paper
• Pruning — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• In International Conference on Machine Learning — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
• Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

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