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Collections including paper arxiv:2506.13585

about 7 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 45
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 24

June 2025 - Top Papers

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8 • 112
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning

Paper • 2506.09513 • Published Jun 11 • 99
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 98
Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 102

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 260
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263

Running

12

12

NCTC OSINT AGENT

🔍

Engage in intelligent chats using the NCTC OSINT AGENT
Running

334

334

MiniMax M1

💬

Generate code from text prompts
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263
Running

MCP

3

3

Grady - General AI Assistant

🤖

Multi-Agent Multi-Modal Multi-Model AI Platform

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

Running

334

334

MiniMax M1

💬

Generate code from text prompts
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263
MiniMaxAI/MiniMax-M1-80k

Text Generation • 456B • Updated Jul 7 • 723 • • 671
MiniMaxAI/MiniMax-M1-40k

Text Generation • 456B • Updated Jul 7 • 25k • 175

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published about 1 month ago • 175
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 234
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 60
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

MiniMax (Large Language Model) - Original and Transformers Compatible Weights

MiniMaxAI/MiniMax-Text-01-hf

Text Generation • 456B • Updated Jul 9 • 16.1k • 6
MiniMaxAI/MiniMax-M1-80k-hf

Text Generation • 456B • Updated Jul 9 • 55 • 3
MiniMaxAI/MiniMax-M1-40k-hf

Text Generation • Updated Jul 11 • 67 • 5
MiniMaxAI/MiniMax-Text-01

Text Generation • 456B • Updated Jul 3 • 3.39k • 644

Large Language Models

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Paper • 2506.14702 • Published Jun 17 • 4
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263
Scaling Test-time Compute for LLM Agents

Paper • 2506.12928 • Published Jun 15 • 62
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8 • 90

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 18
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
ARM: Adaptive Reasoning Model

Paper • 2505.20258 • Published May 26 • 45
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Paper • 2505.19914 • Published May 26 • 44

about 7 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 45
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 24

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published about 1 month ago • 175
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 234
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 60
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

June 2025 - Top Papers

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8 • 112
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning

Paper • 2506.09513 • Published Jun 11 • 99
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 98
Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 102

MiniMax (Large Language Model) - Original and Transformers Compatible Weights

MiniMaxAI/MiniMax-Text-01-hf

Text Generation • 456B • Updated Jul 9 • 16.1k • 6
MiniMaxAI/MiniMax-M1-80k-hf

Text Generation • 456B • Updated Jul 9 • 55 • 3
MiniMaxAI/MiniMax-M1-40k-hf

Text Generation • Updated Jul 11 • 67 • 5
MiniMaxAI/MiniMax-Text-01

Text Generation • 456B • Updated Jul 3 • 3.39k • 644

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 260
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263

Large Language Models

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Paper • 2506.14702 • Published Jun 17 • 4
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263
Scaling Test-time Compute for LLM Agents

Paper • 2506.12928 • Published Jun 15 • 62
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8 • 90

Running

12

12

NCTC OSINT AGENT

🔍

Engage in intelligent chats using the NCTC OSINT AGENT
Running

334

334

MiniMax M1

💬

Generate code from text prompts
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263
Running

MCP

3

3

Grady - General AI Assistant

🤖

Multi-Agent Multi-Modal Multi-Model AI Platform

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

Running

334

334

MiniMax M1

💬

Generate code from text prompts
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263
MiniMaxAI/MiniMax-M1-80k

Text Generation • 456B • Updated Jul 7 • 723 • • 671
MiniMaxAI/MiniMax-M1-40k

Text Generation • 456B • Updated Jul 7 • 25k • 175

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 18
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
ARM: Adaptive Reasoning Model

Paper • 2505.20258 • Published May 26 • 45
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Paper • 2505.19914 • Published May 26 • 44

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