Papers with Code · CC BY-SA 4.0

Few-Shot Text Classification

19 평가 기록 8 datasets

Few-shot Text Classification predicts the semantic label of a given text with a handful of supporting instances 1

논문

RAFT: A Real-World Few-Shot Text Classification Benchmark

2109.14076 2021-09-28 이 페이지의 평가 8건

Avg: 0.735ADE: 0.830B77: 0.607NIS: 0.857

OCD: Learning to Overfit with Conditional Diffusion Models

2210.00471 2022-10-02 이 페이지의 평가 6건

Accuracy: 0.478

Induction Networks for Few-Shot Text Classification

1902.10482 2019-02-27 이 페이지의 평가 4건

Accuracy: 87.16

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

2205.05638 2022-05-11 이 페이지의 평가 1건

Avg: 0.758ADE: 0.804B77: 0.695NIS: 0.833