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Intent Classification on Banking77

894.8AccuracyMIC
55.52273.41491.3709.19May 4, 2023Nov 6, 2023May 11, 2024Nov 14, 2024May 19, 2025Nov 22, 2025May 28, 2026

Evaluation results

MethodLinks
MICDimension=1024, Backbone=BGEM32026.05894.8
MICDimension=512, Backbone=BGEM32026.05890.5
MRLDimension=1024, Backbone=BGEM32026.05889.7
MICDimension=256, Backbone=BGEM32026.05888.5
MRLDimension=512, Backbone=BGEM32026.05886.9
MRLDimension=256, Backbone=BGEM32026.05884.3
ESEDimension=1024, Backbone=BGEM32026.05880.3
ESEDimension=512, Backbone=BGEM32026.05874.8
MICDimension=128, Backbone=BGEM32026.05870.5
MRLDimension=128, Backbone=BGEM32026.05863.9
ESEDimension=256, Backbone=BGEM32026.05862.1
MICDimension=64, Backbone=BGEM32026.05847.3
ESEDimension=128, Backbone=BGEM32026.05839.2
MRLDimension=64, Backbone=BGEM32026.05838.1
ESEDimension=64, Backbone=BGEM32026.05793.4
MICDimension=32, Backbone=BGEM32026.05781.7
MRLDimension=32, Backbone=BGEM32026.05764.2
MICDimension=16, Backbone=BGEM32026.05661.1
MRLDimension=16, Backbone=BGEM32026.05643.9
ESEDimension=16, Backbone=BGEM32026.05626.9
SPACEApproach Type=Classification-based, Fine-tuning status=fine-tuned on each downstream dataset individually2026.0394.94
SPACE 2.0Training=Full2023.0594.77
Llama 2 7BApproach Type=Generation-based, Backbone=Llama 2 7B, Fine-tuning status=FT2026.0394.35
ConvFiTApproach Type=Classification-based2026.0394.16
PPTODApproach Type=Generation-based, Fine-tuning status=fine-tuned on each downstream dataset individually2026.0393.86
Example+ObserverApproach Type=Classification-based2026.0393.83
ConvBERT+Pre+MultiTraining=Full2023.0593.44
USE+CONVERTTraining=Full2023.0593.36
USE+ConvRTApproach Type=Classification-based2026.0393.36
MRLBackbone=BGEM3, Dim=10242026.0493.11
MIPICBackbone=BGEM3, Dim=5122026.0492.98
ConvBERTApproach Type=Classification-based2026.0392.95
MIPICBackbone=BGEM3, Dim=1282026.0492.94
MRLBackbone=BGEM3, Dim=5122026.0492.93
ESAinsTODApproach Type=Generation-based, Backbone=Llama 2 7B2026.0392.89
MIPICBackbone=BGEM3, Dim=2562026.0492.89
USETraining=Full2023.0592.81
MIPICBackbone=BGEM3, Dim=10242026.0492.81
MRLBackbone=BGEM3, Dim=2562026.0492.71
TOATODVariant=small, Training=Full2023.0592.4
ESEBackbone=BGEM3, Dim=10242026.0492.25
TOATODVariant=base, Training=Full2023.0592.17
MIPICBackbone=Qwen, Dim=10242026.0492.16
ESEBackbone=BGEM3, Dim=5122026.0492.13
MRLBackbone=BGEM3, Dim=1282026.0492.1
ESEBackbone=BGEM3, Dim=2562026.0492.06
ESEBackbone=BGEM3, Dim=1282026.0492.02
Fine-TunedBackbone=RoBERTa-large2025.1292
ESEBackbone=Qwen, Dim=10242026.0491.98
MRLBackbone=Qwen, Dim=10242026.0491.81
BERT-DGTraining=Full2023.0591.75
MRLBackbone=Qwen, Dim=5122026.0491.61
ESEBackbone=Qwen, Dim=5122026.0491.42
MIPICBackbone=Qwen, Dim=5122026.0491.32
cist-dial (mslm)Training=Full2023.0591.17
Fixed ICLBackbone=Llama-3.1-8B, Context Length=90k2025.0391
Linear ProbeBackbone=all-MiniLM-L12-v2, Method (Evaluation Protocol)=Linear Probe2025.1290.9
MIPICBackbone=BGEM3, Dim=642026.0490.74
ESEBackbone=BGEM3, Dim=642026.0490.67
MIPICBackbone=Qwen, Dim=2562026.0490.55
MRLBackbone=BGEM3, Dim=642026.0490.53
Ret ICLBackbone=Llama-3.1-8B, Context Length=90k2025.0390
ESEBackbone=BERT, Dim=7682026.0489.83
ESEBackbone=Qwen, Dim=2562026.0489.67
MRLBackbone=Qwen, Dim=2562026.0489.62
MICBackbone=BERT, Dimension=7682026.0589.61
MIPICBackbone=BERT, Dim=7682026.0489.45
MICBackbone=BERT, Dimension=5122026.0589.43
LDS-PNN-way=10-way, K-shot=5-shot2026.0289.4
MIPICBackbone=BERT, Dim=5122026.0489.22
Unsup SimCSEBackbone=BERT, Dim=7682026.0489.15
Unsup SimCSEBackbone=BERT, Dimension=7682026.0589.15
ESEBackbone=BERT, Dimension=7682026.0589.14
DBSABackbone=Llama-3.1-8B, Context Length=90k2025.0389
Fine-TunedBackbone=all-MiniLM-L12-v2, Method (Evaluation Protocol)=Fine-Tuned2025.1289
ESEBackbone=BERT, Dim=5122026.0488.93
ESEBackbone=TinyBERT 6L, Dim=7682026.0488.89
MIPICBackbone=Qwen, Dim=1282026.0488.84
AMGSN-way=10-way, K-shot=5-shot2026.0288.8
MIPICBackbone=TinyBERT 6L, Dim=7682026.0488.76
ESEBackbone=BERT, Dimension=5122026.0588.51
DCCLN-way=10-way, K-shot=5-shot2026.0288.5
MRLBackbone=BERT, Dim=7682026.0488.43
MRLBackbone=BERT, Dimension=7682026.0588.43
MICBackbone=TinyBERT 6L, Dimension=7682026.0588.38
Unsup SimCSEBackbone=BERT, Dim=5122026.0488.34
Unsup SimCSEBackbone=BERT, Dimension=5122026.0588.34
Task MatrixBackbone=all-MiniLM-L12-v2, Method (Evaluation Protocol)=Task Matrix, Best Layer=L9,102025.1288.3
Unsup SimCSEBackbone=TinyBERT 6L, Dim=7682026.0488.29
ESEBackbone=TinyBERT 6L, Dimension=7682026.0588.24
MIPICBackbone=TinyBERT 6L, Dim=5122026.0488.15
MICBackbone=BERT, Dimension=2562026.0588.11
LaSAMLN-way=10-way, K-shot=5-shot2026.0288.1
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=7682026.0588.01
MICBackbone=TinyBERT 6L, Dimension=5122026.0587.93
ContrastNetN-way=10-way, K-shot=5-shot2026.0287.9
MRLBackbone=Qwen, Dim=1282026.0487.87
MRLBackbone=BERT, Dim=5122026.0487.85
MRLBackbone=BERT, Dimension=5122026.0587.85
USMoEBackbone=Transformer-XL(20M), Top-k=2, FLOPs=7.7620 x 10^10, Fine-tuning=true2025.0387.8