Decoupling internal representational changes and causal importance in fine-tuned large language models
Read the original at arxiv.org→arXiv:2609.21113v1 Announce Type: new Abstract: Fine-tuning has emerged as a widely adopted approach for adapting LLMs to a variety of downstream tasks. However, how it reshapes their internal mechanisms remains...
Original headline: "Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models"
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- Sep 21, 04:00 UTC arXiv cs.AI lead source Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models