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Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 125 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 1 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 69
Collections
Discover the best community collections!
Collections including paper arxiv:2310.06825
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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
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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ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 14 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 104
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Mistral 7B
Paper • 2310.06825 • Published • 47 -
Instruction Tuning with Human Curriculum
Paper • 2310.09518 • Published • 3 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 24
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Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 42 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 14 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published
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LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 30 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 47 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36