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Compositional multi-tasking on Compositional multi-tasking Reply + tone adj. (test)

14.33W-R ScoreJoint-expert LoRA
3.0986.0148.9311.846Jul 21, 2025

Evaluation results

MethodLinks
Joint-expert LoRAEfficient?=false2025.0714.3347.06
Learnable Calibration++Efficient?=true2025.0713.5445.4
Shared Learnable Calibration++Efficient?=true2025.0711.0642.33
Learnable CalibrationEfficient?=true2025.0710.8644.99
Shared Learnable CalibrationEfficient?=true2025.079.2339.61
Main-task LoRAEfficient?=true2025.079.1236.25
LoraHub mergeEfficient?=true2025.078.6939.07
Multi-step LoRA usageEfficient?=false2025.078.0945.78
DAM/ZipLoRA mergeEfficient?=true2025.07843.19
Linear mergeEfficient?=true2025.077.7241.93
Concat mergeEfficient?=true2025.077.6541.77
LM-Cocktail mergeEfficient?=true2025.076.6748.76
Slerp mergeEfficient?=true2025.076.5746.97
TIES mergeEfficient?=true2025.076.4747.87
In-context learningEfficient?=true2025.074.6646.23
Auxiliary-task LoRAEfficient?=true2025.074.5936.68
DARE mergeEfficient?=true2025.074.5641.76
Zero-shotEfficient?=true2025.073.5333.66