HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case

Citation edge evidence

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• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy 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
• 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
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→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…→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• HuggingFace's 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
• Language Models are Few-Shot Learners→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• SimCSE: Simple Contrastive Learning of Sentence Embeddings→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• CodeBERT: A Pre-Trained Model for Programming and Natural Languages→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy 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
• In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy 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
• 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
• Longformer: The Long-Document Transformer→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy 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
• XLNet: Generalized Autoregressive Pretraining for 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→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• RoFormer: Enhanced transformer with Rotary Position Embedding→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy 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
• Deep Learning--based Text Classification→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→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…→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…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
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Automatic differentiation in PyTorchLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Gaussian Error Linear Units (GELUs)Legacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→fairseq: A Fast, Extensible Toolkit for Sequence ModelingLegacy 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…→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy 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
• Gaussian Error Linear Units (GELUs)→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
• Cross-lingual Language Model Pretraining→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Cross-lingual Language Model Pretraining→Automatic differentiation in PyTorchLegacy edge — source detail unavailable
• Cross-lingual Language Model Pretraining→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
• Cross-lingual Language Model Pretraining→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• fairseq: A Fast, Extensible Toolkit for Sequence Modeling→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• BERTScore: Evaluating Text Generation with BERT→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• BERTScore: Evaluating Text Generation with BERT→XLNet: Generalized Autoregressive Pretraining for Language UnderstandingLegacy edge — source detail unavailable
• BERTScore: Evaluating Text Generation with BERT→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• XLNet: Generalized Autoregressive Pretraining for Language Understanding→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
• XLNet: Generalized Autoregressive Pretraining for Language Understanding→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
• XLNet: Generalized Autoregressive Pretraining for Language Understanding→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Know What You Don’t Know: Unanswerable Questions for SQuAD→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→BERTScore: Evaluating Text Generation with BERTLegacy edge — source detail unavailable
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→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→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy 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→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Transformers: State-of-the-Art Natural Language Processing→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• Transformers: State-of-the-Art Natural Language Processing→fairseq: A Fast, Extensible Toolkit for Sequence ModelingLegacy edge — source detail unavailable
• Transformers: State-of-the-Art Natural Language Processing→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Transformers: State-of-the-Art Natural Language Processing→ALBERT: A Lite BERT for Self-supervised Learning of Language\n RepresentationsLegacy edge — source detail unavailable
• Transformers: State-of-the-Art Natural Language Processing→Longformer: The Long-Document TransformerLegacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→Longformer: The Long-Document TransformerLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→XLNet: Generalized Autoregressive Pretraining for Language UnderstandingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→The PASCAL Recognising Textual Entailment ChallengeLegacy edge — source detail unavailable
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→Gaussian Error Linear Units (GELUs)Legacy edge — source detail unavailable
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→XLNet: Generalized Autoregressive Pretraining for Language UnderstandingLegacy edge — source detail unavailable
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
• ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Scaling Laws for Neural Language Models→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→XLNet: Generalized Autoregressive Pretraining for Language UnderstandingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→ALBERT: A Lite BERT for Self-supervised Learning of Language\n RepresentationsLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→TinyBERT: Distilling BERT for Natural Language UnderstandingLegacy edge — source detail unavailable
• Longformer: The Long-Document Transformer→BERT: Pre-training of Deep Bidirectional Transformers for 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→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy 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→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Scaling Laws for Neural Language ModelsLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→TinyBERT: Distilling BERT for Natural Language UnderstandingLegacy edge — source detail unavailable
• In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→Gaussian Error Linear Units (GELUs)Legacy edge — source detail unavailable
• In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• CodeBERT: A Pre-Trained Model for Programming and Natural Languages→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy 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→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy 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
• TinyBERT: Distilling BERT for Natural Language Understanding→ALBERT: A Lite BERT for Self-supervised Learning of Language\n RepresentationsLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→The PASCAL Recognising Textual Entailment ChallengeLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→ALBERT: A Lite BERT for Self-supervised Learning of Language\n RepresentationsLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→Pre-trained models for natural language processing: A surveyLegacy edge — source detail unavailable
• Deep Learning--based Text Classification→Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingLegacy edge — source detail unavailable
• SimCSE: Simple Contrastive Learning of Sentence Embeddings→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• SimCSE: Simple Contrastive Learning of Sentence Embeddings→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• SimCSE: Simple Contrastive Learning of Sentence Embeddings→Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksLegacy edge — source detail unavailable
• SimCSE: Simple Contrastive Learning of Sentence Embeddings→Transformers: State-of-the-Art Natural Language ProcessingLegacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy 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→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→Language Models are Few-Shot LearnersLegacy edge — source detail unavailable
• mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy 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→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Prefix-Tuning: Optimizing Continuous Prompts for Generation→Transformers: State-of-the-Art Natural Language ProcessingLegacy 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…→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• 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
• On the Opportunities and Risks of Foundation Models→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy 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→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy 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→Transformers: State-of-the-Art Natural Language ProcessingLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→ALBERT: A Lite BERT for Self-supervised Learning of Language\n RepresentationsLegacy 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→Longformer: The Long-Document TransformerLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Language Models are Few-Shot LearnersLegacy 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
• On the Opportunities and Risks of Foundation Models→mT5: A Massively Multilingual Pre-trained Text-to-Text TransformerLegacy edge — source detail unavailable