Zhuxuanzi Wang

CTR-LORA: CURVATURE-AWARE AND TRUST-REGION GUIDED LOW-RANK ADAPTATION FOR LARGE LANGUAGE MODELS

Parameter-efficient fine-tuning (PEFT) has become the standard approach for adapting large language models under limited compute and memory budgets. Although previous methods improve efficiency through low-rank updates, quantization, or heuristic budget reallocation, they often decouple the allocati…