RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 17
Papers-Fundamentals
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Attention Is All You Need
Paper • 1706.03762 • Published • 118 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
Zero-Shot Tokenizer Transfer
Paper • 2405.07883 • Published • 5 -
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 52 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68 -
Extreme Compression of Large Language Models via Additive Quantization
Paper • 2401.06118 • Published • 14 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 142 -
HyperZcdotZcdotW Operator Connects Slow-Fast Networks for Full Context Interaction
Paper • 2401.17948 • Published • 4 -
Grokfast: Accelerated Grokking by Amplifying Slow Gradients
Paper • 2405.20233 • Published • 7 -
Stream of Search (SoS): Learning to Search in Language
Paper • 2404.03683 • Published • 30 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 27 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
Foundations of Large Language Models
Paper • 2501.09223 • Published • 13 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 443 -
Preference Leakage: A Contamination Problem in LLM-as-a-judge
Paper • 2502.01534 • Published • 40 -
Levels of AGI for Operationalizing Progress on the Path to AGI
Paper • 2311.02462 • Published • 36 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 127 -
A Survey on Post-training of Large Language Models
Paper • 2503.06072 • Published • 11 -
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Paper • 2503.09573 • Published • 76 -
Transformers without Normalization
Paper • 2503.10622 • Published • 172 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 83 -
rasbt/llama-3.2-from-scratch
Updated • 284 -
A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency
Paper • 2505.01658 • Published • 39 -
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
Paper • 2505.09343 • Published • 76 -
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
Paper • 2505.15656 • Published • 15 -
Accelerating Scientific Research with Gemini: Case Studies and Common Techniques
Paper • 2602.03837 • Published • 5 -
Robot Learning: A Tutorial
Paper • 2510.12403 • Published • 127 -
Building AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned
Paper • 2603.05344 • Published • 6