OpenCodePapers

few-shot-text-classification-on-raft

ClassificationText ClassificationFew-Shot Text Classification
Dataset Link
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PaperCodeAvgADEB77NISOSEOverSOTSRITAIToSTEHTCModelNameReleaseDate
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning✓ Link0.7580.8040.6950.8330.6760.950.9150.5080.7360.750.5860.879T-Few2022-05-11
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.7350.8300.6070.8570.6460.9170.9080.4680.6090.6270.7220.897Human (crowdsourced)2021-09-28
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.6270.6860.2990.6790.4310.9370.7690.5160.6560.5740.5260.821GPT-32021-09-28
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.5140.5430.0230.6260.4750.8380.4550.5060.5560.5600.4430.625AdaBoost2021-09-28
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.4810.4520.1490.4080.3430.6810.4060.4930.6050.5650.5540.636GPT-Neo2021-09-28
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.4580.6000.1210.5610.2450.4980.3800.4920.6120.4980.3110.723GPT-22021-09-28
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.3820.2340.3320.6150.3600.4620.6440.0260.4690.1220.5430.400BART MNLI zero-shot2021-09-28
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.3310.4460.0000.3530.1640.3370.2710.4930.3440.4710.3660.391Plurality-class2021-09-28
RAFT: A Real-World Few-Shot Text Classification Benchmark✓ Link0.2920.1630.0000.5720.3230.3780.6280.0270.3620.1640.3030.290GPT-3 zero-shot2021-09-28