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Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 138 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 3 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 14 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 72
Collections
Discover the best community collections!
Collections including paper arxiv:2302.13971
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Self-Play Preference Optimization for Language Model Alignment
Paper • 2405.00675 • Published • 24 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 11 -
Attention Is All You Need
Paper • 1706.03762 • Published • 48 -
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Paper • 2307.08691 • Published • 8
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LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 16 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
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Attention Is All You Need
Paper • 1706.03762 • Published • 48 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 16 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
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Attention Is All You Need
Paper • 1706.03762 • Published • 48 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 15 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11
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LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13 -
tatsu-lab/alpaca-7b-wdiff
Text Generation • Updated • 785 • 54 -
lmsys/vicuna-13b-delta-v0
Text Generation • Updated • 741 • 453 -
anon8231489123/ShareGPT_Vicuna_unfiltered
Updated • 15.1k • 756
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Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13 -
Finetuned Language Models Are Zero-Shot Learners
Paper • 2109.01652 • Published • 2 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 21
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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 • 48 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 15 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 7 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14