Papers by Giuseppe Curci
Practical Guidelines for Model Merging in LLMs Pre-Training (2026.acl-industry)
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| Challenge: | Existing studies on model merging have focused on stable learning rate regimes, but its effectiveness during LLM pre-training remains underexplored. |
| Approach: | They systematically investigate model merging across training phases, focusing on the transition from stable to decaying learning rates. |
| Outcome: | The proposed methods improve performance during stable learning rate regimes but diminish under decay, a phe-nomenon that is linked to reduced checkpoint diversity and lower parameter-space variability. |