List your company

Natural Language Understanding on GLUE (val) - Subset (CoLA, MNLI, MRPC, QNLI, QQP, RTE, SST-2, STS-B)

82.4CoLA ScoreProbSurgery
44.408854.271964.13573.9981Dec 11, 2023May 6, 2024Oct 1, 2024Feb 26, 2025Jul 23, 2025Dec 18, 2025May 15, 2026

Evaluation results

MethodLinks
ProbSurgeryModel=FLAN-T5-Base, Reference=Task Arithmetic2026.0582.469.178.380.689.883.481.292.582.2
Fine-tuned (STL)Model=FLAN-T5-Large2026.0580.288.589.294.487.291.795.290.989.6
IndividualBase Model=Flan-T5-large, Fine-tuning Method=LoRA, Merging Strategy Category=Basic2023.1280.288.589.294.487.291.795.290.989.6
FEATCALModel=FLAN-T5-Large, Reference=Task Arithmetic2026.0579.287.88993.986.988.495.390.888.9
ProbSurgeryModel=FLAN-T5-Large, Reference=Task Arithmetic2026.0577.287.68593.88688.495.287.887.6
Ties-MergingBase Model=Flan-T5-large, Fine-tuning Method=LoRA, Merging Strategy Category=TA-Based2023.1277.185.186.393.98687.795.18887.4
Task ArithmeticBase Model=Flan-T5-large, Fine-tuning Method=LoRA, Merging Strategy Category=TA-Based2023.1276.985.485.393.985.888.195.287.887.3
Task ArithmeticModel=FLAN-T5-Large2026.0576.885.485.39485.888.195.287.787.3
LW AMBase Model=Flan-T5-large, Fine-tuning Method=LoRA, Merging Strategy Category=LW AM-Based2023.1276.787.684.893.885.988.195.288.687.6
Concrete TABase Model=Flan-T5-large, Fine-tuning Method=LoRA, Merging Strategy Category=TA-Based2023.1276.686.48693.985.988.495.287.987.5
LW Concrete AMBase Model=Flan-T5-large, Fine-tuning Method=LoRA, Merging Strategy Category=LW AM-Based2023.1276.187.785.593.885.988.195.487.187.5
SurgeryModel=FLAN-T5-Large, Reference=Task Arithmetic2026.057687.98693.986.289.995.28988
Fine-tuned (STL)Model=FLAN-T5-Base2026.057583.487.591.585.485.993.688.786.4
Weight AveragingBase Model=Flan-T5-large, Fine-tuning Method=LoRA, Merging Strategy Category=Basic2023.1274.684.384.192.886.387.494.88886.5
Pre-trainedModel=FLAN-T5-Large2026.0573.756.682.491.185.585.694.387.582.1
Pre-trainedBase Model=Flan-T5-large, Fine-tuning Method=None, Merging Strategy Category=Basic2023.1273.756.682.491.185.585.694.387.582.1
FEATCALModel=FLAN-T5-Base, Reference=Task Arithmetic2026.0572.282.685.191.184.785.29387.785.2
SurgeryModel=FLAN-T5-Base, Reference=Task Arithmetic2026.0570.882.482.489.884.28392.185.283.7
Task ArithmeticModel=FLAN-T5-Base2026.0570.557.878.490.283.680.592.377.878.9
Pre-trainedModel=FLAN-T5-Base2026.0569.156.576.288.482.180.191.262.275.7
BOFTConfig=r=2,b=4, #Params=0.746M2026.0568.290.2787.0794.0789.7381.439691.1387.24
FTBackbone=RoBERTalarge, Parameters (×10^3)=355k, Rank=-2025.066890.29194.792.28796.492.489
LoRABackbone=RoBERTalarge, Parameters (×10^3)=786, Rank=82025.066890.68494.891.68795.791.988
OFTConfig=b=24, #Params=0.954M2026.0567.6390.2787.9394.389.7784.2795.839187.63
LoCOConfig=n=1,r=4, #Params=0.663M2026.0565.5690.288.2894.3690.0886.196.1491.2887.75
VeRABackbone=RoBERTalarge, Parameters (×10^3)=61, Rank=2562025.066488.889.493.187.628395.191.586.6
MetaTT-4DBackbone=RoBERTalarge, Parameters (×10^3)=92, Rank=322025.06649090.194.47684.895.392.286
MetaTT-4DBackbone=RoBERTalarge, Parameters (×10^3)=39, Rank=162025.0662.889.688.693.888.584.295.291.886.8
LoTRBackbone=RoBERTabase, Parameters (×10^3)=321, Rank=882025.0661.384.7889286.96793.39183
LoTRBackbone=RoBERTalarge, Parameters (×10^3)=328, Rank=642025.0661.390.38994.889.28495.991.687
LoRABackbone=RoBERTabase, Parameters (×10^3)=295, Rank=82025.0661.187.38891.390.17394.290.784.5
FTBackbone=RoBERTabase, Parameters (×10^3)=125k, Rank=-2025.066187.689.392.691.97994.190.485.7
LoTRBackbone=RoBERTabase, Parameters (×10^3)=276, Rank=802025.066184.68992.186.87193.490.983.6
MetaTT-4DBackbone=RoBERTabase, Parameters (×10^3)=156, Rank=642025.066185.988.97788.577.57290.180
LoRETTAadpBackbone=RoBERTalarge, Parameters (×10^3)=133, Rank=64, 52025.066189.6988.194.0889.67295.5—84.3
MetaTT-4DBackbone=RoBERTabase, Parameters (×10^3)=45, Rank=242025.0659.785.588.69187.874.292.389.983.6
LoRTABackbone=RoBERTalarge, Parameters (×10^3)=9.1, Rank=82025.0658.988.487.39488.166.695.391.183.7
AdamWFine-tuning mode=Full, Backbone=DistilBERT base2025.1058.884.1185.7891.8990.6368.2392.8989.3282.71
MetaTT-4DBackbone=RoBERTabase, Parameters (×10^3)=13, Rank=82025.0658.884.287.690.486.972.99289.182.7
LoRTABackbone=RoBERTabase, Parameters (×10^3)=55, Rank=642025.0658.686.18892.2897593.689.384
VeRABackbone=RoBERTabase, Parameters (×10^3)=43, Rank=10242025.06588187.289.685.8773.492.288.782
LoTRBackbone=RoBERTabase, Parameters (×10^3)=100, Rank=402025.065885.28892.587.65393.889.881
LoRETTAadpBackbone=RoBERTabase, Parameters (×10^3)=57, Rank=64, 52025.0657.984.686.4928870.393.3—81.8
MuonFine-tuning mode=Full, Backbone=DistilBERT base2025.1057.5380.6884.5690.5589.5868.9591.9789.0381.61
LoRTABackbone=RoBERTabase, Parameters (×10^3)=6.9, Rank=82025.0655.984.186.991.186.770.29386.681.8
RMSSpectralFine-tuning mode=LoRA, Backbone=DistilBERT base2025.1053.2777.7685.0586.8285.8565.3489.6883.4478.4
AdaMuonFine-tuning mode=LoRA, Backbone=DistilBERT base2025.1051.7478.3684.887.3985.8466.7990.3784.2778.69
HRAConfig=r=8, #Params=0.663M2026.0551.6790.288.0393.5790.284.595.791.2585.64
MuonFine-tuning mode=LoRA, Backbone=DistilBERT base2025.1049.9272.3785.7885.0183.2266.0688.6583.9276.87
RMSSpectral-SANIAFine-tuning mode=LoRA, Backbone=DistilBERT base2025.1049.977.884.887.8185.7162.0990.684.2277.87
RMSSpectralFine-tuning mode=Full, Backbone=DistilBERT base2025.104881.1678.1987.9488.01———76.66
AdaMuonFine-tuning mode=Full, Backbone=DistilBERT base2025.1047.781.0982.687.5787.82———77.36
AdamWFine-tuning mode=LoRA, Backbone=DistilBERT base2025.1047.5973.5283.0985.6784.9863.989.5684.7376.63
RMSSpectral-SANIAFine-tuning mode=Full, Backbone=DistilBERT base2025.1045.8781.2281.3787.8887.82———76.83