Omega-S, a penalty on node-degree variance in the weight matrix, improves code retention during LoRA fine-tuning of Llama-3-8B, while its advertised clustering/topological channel is inert.
Network Properties of Local Fungal Communities Reveal the Anthropogenic Disturbance Consequences of Farming Practices in Vineyard Soils.mSystems
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Omega-S: A Functional Resilience Index for LLM Fine-Tuning
Omega-S, a penalty on node-degree variance in the weight matrix, improves code retention during LoRA fine-tuning of Llama-3-8B, while its advertised clustering/topological channel is inert.