Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Research article (Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023) · cited 27× · AI/ML
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Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

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Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. Retrieved May 24, 2026, from https://4ort.xyz/entity/making-pre-trained-language-models-end-to-end-few-shot-learners-with-contrastive-prompt-tuning
MLA “Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/making-pre-trained-language-models-end-to-end-few-shot-learners-with-contrastive-prompt-tuning.
BibTeX @misc{4ortxyz_making-pre-trained-language-models-end-to-end-few-shot-learners-with-contrastive-prompt-tuning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning}}, year = {2026}, url = {https://4ort.xyz/entity/making-pre-trained-language-models-end-to-end-few-shot-learners-with-contrastive-prompt-tuning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning — https://4ort.xyz/entity/making-pre-trained-language-models-end-to-end-few-shot-learners-with-contrastive-prompt-tuning (retrieved 2026-05-24)

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