BaRA adds Bayesian adaptive rank allocation to LoRA fine-tuning by activating sparse instance-specific latent factors, with a generalization bound depending on learned joint effective rank rather than fixed maximum rank.
Gaussian stochastic weight averaging for bayesian low-rank adaptation of large language models,
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An α-Rényi variational ensemble method learns distributions over LoRA adapter parameters for uncertainty-aware LLM post-training, balancing individual model plausibility with complementary specialization.
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BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning
BaRA adds Bayesian adaptive rank allocation to LoRA fine-tuning by activating sparse instance-specific latent factors, with a generalization bound depending on learned joint effective rank rather than fixed maximum rank.