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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 16 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 80 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 45
Collections
Discover the best community collections!
Collections including paper arxiv:1706.03762
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SMOTE: Synthetic Minority Over-sampling Technique
Paper • 1106.1813 • Published • 1 -
Scikit-learn: Machine Learning in Python
Paper • 1201.0490 • Published • 1 -
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Paper • 1406.1078 • Published -
Distributed Representations of Sentences and Documents
Paper • 1405.4053 • Published
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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
ImageNet Large Scale Visual Recognition Challenge
Paper • 1409.0575 • Published • 8 -
Sequence to Sequence Learning with Neural Networks
Paper • 1409.3215 • Published • 3 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 12
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 63 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 17 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 38 -
Attention Is All You Need
Paper • 1706.03762 • Published • 50
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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
You Only Look Once: Unified, Real-Time Object Detection
Paper • 1506.02640 • Published • 1 -
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Paper • 1504.02531 • Published -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 27
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LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 31 -
Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 53 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 38
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Mistral 7B
Paper • 2310.06825 • Published • 47 -
BloombergGPT: A Large Language Model for Finance
Paper • 2303.17564 • Published • 21 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 16 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14
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Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 38 -
Efficient Estimation of Word Representations in Vector Space
Paper • 1301.3781 • Published • 6 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 16 -
Attention Is All You Need
Paper • 1706.03762 • Published • 50