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Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 6 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9
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Collections including paper arxiv:1706.03762
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Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 6 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9
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ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 11 -
Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 98
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RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 7 -
Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 57
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Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 9 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9
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Long-form factuality in large language models
Paper • 2403.18802 • Published • 23 -
Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9 -
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Paper • 2310.12321 • Published • 1
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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Paper • 1701.06538 • Published • 4 -
Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
Language Model Evaluation Beyond Perplexity
Paper • 2106.00085 • Published