8 citations · 19 across the 9 of their papers we have counts for
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cs.LG2023★ 6 cited
LoRA ensembles for large language model fine-tuning
Xi Wang, Laurence Aitchison, Maja Rudolph
Finetuned LLMs often exhibit poor uncertainty quantification, manifesting as overconfidence, poor calibration, and unreliable prediction results on test data or out-of-distribution…
cs.LG2023★ 1 cited
Bayesian Low-rank Adaptation for Large Language Models
Adam X. Yang, Maxime Robeyns, Xi Wang +1
Low-rank adaptation (LoRA) has emerged as a new paradigm for cost-efficient fine-tuning of large language models (LLMs). However, fine-tuned LLMs often become overconfident especia…