https://github.com/zjunlp/PromptKG/tree/main/research/RetroPrompt
공식 코드Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Papers with Code 아카이브
Few-Shot Text Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 8
- 보존된 평가 기록
- 19
Few-shot Text Classification predicts the semantic label of a given text with a handful of supporting instances 1
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zjunlp/promptkg
공식 코드Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/few_shot/pet
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
https://github.com/ShengdingHu/KnowledgeablePromptTuning
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
https://github.com/Wattsy2020/closure_learning
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
https://github.com/alibaba/EasyNLP/tree/master/examples/fewshot_learning
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
https://github.com/congyingxia/IncrementalFSTC
https://github.com/hongshengxin/Induction_network
https://github.com/idc-dsi/Arapet
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
https://github.com/kohakublueleaf/lycoris
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
https://github.com/laohur/LearnToCompareText
https://github.com/laohur/RelationNet
https://github.com/mhw32/prototransformer-public
https://github.com/sunyilgdx/prompts4keras
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
https://github.com/yining610/ProtSi-Network
https://github.com/zhongyuchen/few-shot-text-classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.