AIDE (Parameter-efficient fine-tuning (LoRA family)): superseded — cited as a baseline and beaten by newer methods. 0 paper(s) critique it, 2 beat it on benchmarks — #98 of 1113 most-superseded. Sub-problem: cluster led by CNN. Newer alternatives in the same sub-problem include Structured Convolutional Projection + LoRA, LEGO, layer-selective multimodal large language models (MLLMs) with contrastive LoRA tuning and layer sensitivity analysis (LSA), AdaptPrompt.

Parameter-efficient fine-tuning (LoRA family)

AIDE

Superseded baseline#98 of 1,113 most-superseded

Superseded — cited as a baseline and beaten by newer methods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 AIDE. Values are copied from the source paper's tables — verify against the cited paper.

LEGO beats AIDE
15.0 vs 27.5
EER · [Chameleon]
LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection
layer-selective multimodal large language models (MLLMs) with contrastive LoRA tuning and layer sensitivity analysis (LSA) beats AIDE
94.74 vs 83.75
Acc · [Text2LIVE]
Fine-Grained Human Pose Editing Assessment via Layer-Selective MLLMs

What to use instead

Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.

Structured Convolutional Projection + LoRAEfficient and Adaptive Human Activity Recognition via LLM Backbones
May 12, 2026
LEGOLEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection
May 6, 2026
layer-selective multimodal large language models (MLLMs) with contrastive LoRA tuning and layer sensitivity analysis (LSA)Fine-Grained Human Pose Editing Assessment via Layer-Selective MLLMs
Jan 15, 2026
AdaptPromptAdaptPrompt: Parameter-Efficient Adaptation of VLMs for Generalizable Deepfake Detection
Dec 19, 2025