Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li, Percy Liang. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
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- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Prefix-Tuning: Optimizing Continuous Prompts for GenerationLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→BLEULegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and…Legacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→Transformers: State-of-the-Art Natural Language ProcessingLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→A Study of Translation Edit Rate with Targeted Human AnnotationLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→BERTScore: Evaluating Text Generation with BERTLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→Text Summarization with Pretrained EncodersLegacy edge — source detail unavailable
- ROUGE: A Package for Automatic Evaluation of Summaries→BLEULegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→BLEULegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→A Study of Translation Edit Rate with Targeted Human AnnotationLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Text Summarization with Pretrained Encoders→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Text Summarization with Pretrained Encoders→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Transformers: State-of-the-Art Natural Language Processing→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
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What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu… | 2022 | 3,836 |
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Topics
| Natural Language Processing Techniques | Computer Science |
| Topic Modeling | Computer Science |
| Speech Recognition and Synthesis | Computer Science |
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