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Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paper β’ 1912.01703 β’ Published β’ 2 -
google-bert/bert-base-uncased
Fill-Mask β’ 0.1B β’ Updated β’ 31.3M β’ β’ 3.07k -
openai-community/gpt2
Text Generation β’ 0.1B β’ Updated β’ 32.9M β’ 3.93k
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Collections including paper arxiv:2303.08774
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Qwen2.5 Technical Report
Paper β’ 2412.15115 β’ Published β’ 374 -
Qwen2.5-Coder Technical Report
Paper β’ 2409.12186 β’ Published β’ 159 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper β’ 2409.12122 β’ Published β’ 5 -
Qwen2.5-VL Technical Report
Paper β’ 2502.13923 β’ Published β’ 214
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Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper β’ 2305.13245 β’ Published β’ 6 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper β’ 2307.09288 β’ Published β’ 252
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Long-form factuality in large language models
Paper β’ 2403.18802 β’ Published β’ 27 -
Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20 -
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Paper β’ 2310.12321 β’ Published β’ 1
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Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20 -
Evaluating Large Language Models Trained on Code
Paper β’ 2107.03374 β’ Published β’ 12 -
Training language models to follow instructions with human feedback
Paper β’ 2203.02155 β’ Published β’ 26 -
GPT-4 Technical Report
Paper β’ 2303.08774 β’ Published β’ 5
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Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper β’ 1810.04805 β’ Published β’ 32 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper β’ 1910.01108 β’ Published β’ 25 -
Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20
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Large Language Model Alignment: A Survey
Paper β’ 2309.15025 β’ Published β’ 2 -
Aligning Large Language Models with Human: A Survey
Paper β’ 2307.12966 β’ Published β’ 1 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper β’ 2305.18290 β’ Published β’ 73 -
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Paper β’ 2310.05344 β’ Published β’ 1
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Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paper β’ 1912.01703 β’ Published β’ 2 -
google-bert/bert-base-uncased
Fill-Mask β’ 0.1B β’ Updated β’ 31.3M β’ β’ 3.07k -
openai-community/gpt2
Text Generation β’ 0.1B β’ Updated β’ 32.9M β’ 3.93k
-
Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20 -
Evaluating Large Language Models Trained on Code
Paper β’ 2107.03374 β’ Published β’ 12 -
Training language models to follow instructions with human feedback
Paper β’ 2203.02155 β’ Published β’ 26 -
GPT-4 Technical Report
Paper β’ 2303.08774 β’ Published β’ 5
-
Qwen2.5 Technical Report
Paper β’ 2412.15115 β’ Published β’ 374 -
Qwen2.5-Coder Technical Report
Paper β’ 2409.12186 β’ Published β’ 159 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper β’ 2409.12122 β’ Published β’ 5 -
Qwen2.5-VL Technical Report
Paper β’ 2502.13923 β’ Published β’ 214
-
Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper β’ 2305.13245 β’ Published β’ 6 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper β’ 2307.09288 β’ Published β’ 252
-
Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper β’ 1810.04805 β’ Published β’ 32 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper β’ 1910.01108 β’ Published β’ 25 -
Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20
-
Long-form factuality in large language models
Paper β’ 2403.18802 β’ Published β’ 27 -
Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 148 -
Language Models are Few-Shot Learners
Paper β’ 2005.14165 β’ Published β’ 20 -
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Paper β’ 2310.12321 β’ Published β’ 1
-
Large Language Model Alignment: A Survey
Paper β’ 2309.15025 β’ Published β’ 2 -
Aligning Large Language Models with Human: A Survey
Paper β’ 2307.12966 β’ Published β’ 1 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper β’ 2305.18290 β’ Published β’ 73 -
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Paper β’ 2310.05344 β’ Published β’ 1