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Jul 4
Jul 4Collections
Discover the best community collections!
Collections including paper arxiv:2501.08313
Collection by
about 3 hours ago
about 3 hours ago-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
Lizard: An Efficient Linearization Framework for Large Language Models
Paper • 2507.09025 • Published • 18 -
On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective
Paper • 2507.23632 • Published • 6 -
Causal Attention with Lookahead Keys
Paper • 2509.07301 • Published • 21
Collection by
Jan 15
Jan 15Collection by
Feb 24
Feb 24-
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 122 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 71
Collection by
Jul 27
Jul 27-
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 52 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 43 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
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Jan 16
Jan 16Collection by
Jan 20
Jan 20-
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback
Paper • 2501.03916 • Published • 16 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102
Collection by
Jun 4
Jun 4-
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
Paper • 2412.06781 • Published • 24 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Paper • 2502.20256 • Published -
High-Resolution Building and Road Detection from Sentinel-2
Paper • 2310.11622 • Published
Collection by
May 20
May 20
Collection by
Aug 24
Aug 24-
MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 31 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 26 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104
Collection by
Jul 4
Jul 4Collection by
Jan 16
Jan 16Collection by
about 3 hours ago
about 3 hours ago-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
Lizard: An Efficient Linearization Framework for Large Language Models
Paper • 2507.09025 • Published • 18 -
On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective
Paper • 2507.23632 • Published • 6 -
Causal Attention with Lookahead Keys
Paper • 2509.07301 • Published • 21
Collection by
Jan 20
Jan 20-
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback
Paper • 2501.03916 • Published • 16 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102
Collection by
Jan 15
Jan 15Collection by
Jun 4
Jun 4-
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
Paper • 2412.06781 • Published • 24 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Paper • 2502.20256 • Published -
High-Resolution Building and Road Detection from Sentinel-2
Paper • 2310.11622 • Published
Collection by
Feb 24
Feb 24-
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 122 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 71
Collection by
May 20
May 20Collection by
Jul 27
Jul 27-
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 52 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 43 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
Collection by
Aug 24
Aug 24-
MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 31 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 26 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104