Language Models are Few-Shot Learners

Citation edge evidence

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• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→Language Models are Few-Shot LearnersLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Language Models are Few-Shot LearnersLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Multitask LearningLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…Legacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Domain randomization for transferring deep neural networks from simulation to the real wo…Legacy edge — source detail unavailable
• Language Models are Few-Shot Learners→SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion MiningLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Optimization as a Model for Few-Shot LearningLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Natural Questions: A Benchmark for Question Answering ResearchLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Estimating or Propagating Gradients Through Stochastic Neurons for Conditional ComputationLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→NLTK: The Natural Language ToolkitLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→TinyBERT: Distilling BERT for Natural Language UnderstandingLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→The PASCAL Recognising Textual Entailment ChallengeLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Unsupervised Data Augmentation for Consistency TrainingLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Semantic Parsing on Freebase from Question-Answer PairsLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Scaling Laws for Neural Language ModelsLegacy edge — source detail unavailable
• Natural Questions: A Benchmark for Question Answering Research→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
• Cross-lingual Language Model Pretraining→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Unsupervised Data Augmentation for Consistency Training→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Unsupervised Data Augmentation for Consistency Training→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Unsupervised Data Augmentation for Consistency Training→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Unsupervised Data Augmentation for Consistency Training→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→The PASCAL Recognising Textual Entailment ChallengeLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy 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
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Scaling Laws for Neural Language Models→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Scaling Laws for Neural Language Models→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…→Semantic Parsing on Freebase from Question-Answer PairsLegacy edge — source detail unavailable
• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…→Natural Questions: A Benchmark for Question Answering ResearchLegacy edge — source detail unavailable
• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Scaling Laws for Neural Language ModelsLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→LoRA Fine-Tuning of a 3B Code LLM for Algorithmic EfficiencyLegacy edge — source detail unavailable