Attention Is All You Need
Paper
• 1706.03762 • Published
• 115
Core Papers
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Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 17 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 91 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 441 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 15 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24 -
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 14 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 64 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 9