Method Drift›Parameter-efficient fine-tuning (LoRA family)
Superseded baseline#109 of 1,113 most-superseded
LAP
Parameter-efficient fine-tuning (LoRA family)
superseded — cited as a baseline and beaten by newer methods
0 papers critique it · 2 beat it on benchmarks
Beaten on benchmarks
Head-to-head results where a newer method reports beating LAP. Values are copied from the source paper's tables — verify against the cited paper.
- BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLRB (N=0) beats LAP · ACC [OBQA (In-Dist.)]
82.73 vs 82.12
- BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLRB (N=10) beats LAP · ECE [OBQA (In-Dist.)]
3.77 vs 8.70
- BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLRB (N=10) beats LAP · ECE [Chem (Larger Dist. Shift)]
9.77 vs 10.76
- iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
iLoRA beats LAP · ECE [IBD diagnosis overall]
0.0980 vs 0.2031
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.