AI Research Papers
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Quantification of Large Language Model Distillation
Shenzhen Institutes of Advanced Technology, Peking University, 01.AI, SUSTech, SUAT, Leibowitz AI, UNSW Sydney
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Hong Kong Polytechnic University
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Northeastern University
Instructive3D: Editing Large Reconstruction Models with Text Instructions
Samsung R&D Institute India
A Survey on Large Language Models with some Insights on their Capabilities and Limitations
Expedia Group, Roma Tre University
OpenAI o1 System Card
OpenAI
Qwen2.5 Technical Report
Qwen Team
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-Precision
Colfax Research, Meta, NVIDIA, Georgia Tech, Princeton University, Together AI
Mixture-of-Agents Enhances Large Language Model Capabilities
Duke University, Stanford University, University of Chicago, Together AI
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Princeton University, Carnegie Mellon University
Continual Learning for Large Language Models: A Survey
Monash University, Griffith University
Self-Rewarding Language Models
Meta, New York University
Attention Is All You Need
Google Brain, Google Research, University of Toronto
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