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Paraphrase Detection on MRPC (Accuracy and F1)

90.43AccuracyVanilla
44.846856.680968.51580.3491Feb 21, 2024Jul 10, 2024Nov 27, 2024Apr 16, 2025Sep 3, 2025Jan 21, 2026Jun 11, 2026

Evaluation results

MethodLinks
Vanilla2024.0990.43—
CrossWeigh2024.0990.35—
SubRegWeighVariant=Random2024.0990.16—
SubRegWeighVariant=Cos-Sim2024.0989.69—
LoRAModel=DeBERTa v2 XXL [24], Adapter Rank=162026.0688.28—
cLAModel=RoBERTa-Large [42], Adapter Rank=162026.0687.81—
FFTModel=RoBERTa-Base [42], Adapter Rank=162026.0687.4—
SubRegWeighVariant=K-means2024.0986.82—
cLAModel=DeBERTa v2 XXL [24], Adapter Rank=162026.0686.13—
r-c3LAModel=DeBERTa v3 Base [23], Adapter Rank=162026.0684.17—
Se²2024.0277.985.6
UPRISE2024.027684.2
KiteBackbone=Qwen 2.5–1.5B2025.0975.27—
CEILBackbone=Qwen 2.5–1.5B2025.0974.25—
MICBackbone=BERT, Dimension=7682026.0573.96—
DenseBackbone=Qwen 2.5–1.5B2025.0973.92—
MICBackbone=TinyBERT 6L, Dimension=7682026.0573.91—
Unsup SimCSEBackbone=BERT, Dimension=7682026.0573.91—
MICBackbone=BERT, Dimension=5122026.0573.82—
Unsup SimCSEBackbone=BERT, Dimension=5122026.0573.79—
BM25Backbone=Qwen 2.5–1.5B2025.0973.77—
MICBackbone=TinyBERT 6L, Dimension=5122026.0573.74—
MICBackbone=BERT, Dimension=1282026.0573.73—
MICBackbone=TinyBERT 6L, Dimension=2562026.0573.69—
MICBackbone=BERT, Dimension=322026.0573.56—
MICBackbone=TinyBERT 6L, Dimension=1282026.0573.45—
MICBackbone=BERT, Dimension=2562026.0573.41—
MICBackbone=BERT, Dimension=642026.0573.39—
MICBackbone=TinyBERT 6L, Dimension=642026.0573.33—
MICBackbone=TinyBERT 6L, Dimension=322026.0573.27—
ESEBackbone=BERT, Dimension=5122026.0573.27—
MRLBackbone=BERT, Dimension=7682026.0573.22—
MRLBackbone=BERT, Dimension=5122026.0573.16—
Unsup SimCSEBackbone=BERT, Dimension=1282026.0573.14—
Unsup SimCSEBackbone=BERT, Dimension=2562026.0573.07—
MICBackbone=BERT, Dimension=162026.0573.04—
ESEBackbone=TinyBERT 6L, Dimension=642026.0572.98—
MRLBackbone=BERT, Dimension=2562026.0572.98—
MRLBackbone=BERT, Dimension=1282026.0572.96—
MRLBackbone=TinyBERT 6L, Dimension=7682026.0572.85—
MICBackbone=TinyBERT 6L, Dimension=162026.0572.7—
ESEBackbone=TinyBERT 6L, Dimension=2562026.0572.63—
MRLBackbone=TinyBERT 6L, Dimension=5122026.0572.6—
ESEBackbone=BERT, Dimension=642026.0572.57—
ESEBackbone=TinyBERT 6L, Dimension=1282026.0572.52—
ESEBackbone=BERT, Dimension=7682026.0572.46—
MRLBackbone=TinyBERT 6L, Dimension=2562026.0572.31—
ESEBackbone=BERT, Dimension=2562026.0572.29—
ESEBackbone=TinyBERT 6L, Dimension=322026.0572.28—
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=7682026.0572.18—
MRLBackbone=TinyBERT 6L, Dimension=1282026.0572.07—
ESEBackbone=TinyBERT 6L, Dimension=7682026.0572.01—
ESEBackbone=TinyBERT 6L, Dimension=5122026.0572—
KiteBackbone=Llama 3.2–3B2025.0971.98—
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=5122026.0571.97—
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=2562026.0571.82—
DenseBackbone=Llama 3.2–3B2025.0971.81—
ESEBackbone=TinyBERT 6L, Dimension=162026.0571.71—
ESEBackbone=BERT, Dimension=1282026.0571.71—
MRLBackbone=TinyBERT 6L, Dimension=642026.0571.44—
RandomBackbone=Llama 3.2–3B2025.0971.12—
ESEBackbone=BERT, Dimension=322026.0571.07—
CEILBackbone=Llama 3.2–3B2025.0970.63—
BM25Backbone=Llama 3.2–3B2025.0970.58—
Unsup SimCSEBackbone=BERT, Dimension=642026.0570.53—
RandomBackbone=Qwen 2.5–1.5B2025.0970.45—
MRLBackbone=BERT, Dimension=642026.0570.14—
MRLBackbone=BERT, Dimension=322026.0570.11—
MRLBackbone=TinyBERT 6L, Dimension=322026.0569.87—
Best-of-102024.0269.481.3
KiteBackbone=GPT-Neo 2.7B2025.0968.38—
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=642026.0568.25—
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=1282026.0568.15—
CEILBackbone=GPT-Neo 2.7B2025.0968.04—
BM25Backbone=GPT-Neo 2.7B2025.0966.96—
ESEBackbone=BERT, Dimension=162026.0566.73—
Unsup SimCSEBackbone=BERT, Dimension=322026.0566.72—
RandomBackbone=GPT-Neo 2.7B2025.0966.38—
MRLBackbone=BERT, Dimension=162026.0565.93—
DenseBackbone=GPT-Neo 2.7B2025.0965.83—
AES2024.0264.2—
Random2024.0261.473.1
MRLBackbone=TinyBERT 6L, Dimension=162026.0561.12—
BM252024.0258.870.2
SBERT2024.0258.870.1
Instructor2024.0258.870
Unsup SimCSEBackbone=BERT, Dimension=162026.0557.83—
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=322026.0557.34—
Unsup SimCSEBackbone=TinyBERT 6L, Dimension=162026.0551.32—
Zero-shot2024.0246.646
FoTBackbone=RoBERTa_LARGE, Samples per class=16, Pre-trained prompt=false2025.06—61.56
FoTBackbone=RoBERTa_LARGE, Samples per class=16, Pre-trained prompt=true2025.06—75.51
Prompt TuningBackbone=RoBERTa_LARGE, Samples per class=16, Pre-trained prompt=false2025.06—51.61
Prompt TuningBackbone=RoBERTa_LARGE, Samples per class=16, Pre-trained prompt=true2025.06—77.48
SecP-TuningBackbone=RoBERTa_LARGE, Samples per class=162025.06—75.33
SFTBackbone=RoBERTa_LARGE, Samples per class=162025.06—77.35