Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance
This paper introduces SoCE, a principled approach for model souping to overcome this shortcoming in precision-sensitive LLM capabilities and demonstrates that SoCE improves performance and robustness across multiple domains and achieves state-of-the-art results on the Berkeley Function Calling Leaderboard.