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Collections including paper arxiv:2506.13585

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 31
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 125
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 123
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

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

Paper • 2508.06471 • Published Aug 8, 2025 • 212
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1, 2025 • 256
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7, 2025 • 67
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28, 2025 • 58

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 278

FMA-Net++: Motion- and Exposure-Aware Real-World Joint Video Super-Resolution and Deblurring

Paper • 2512.04390 • Published Dec 4, 2025 • 9
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354

MiniMax M1

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

Paper • 2506.13585 • Published Jun 16, 2025 • 278

Open-Source Foundations for Modern AI Systems

open-source libraries that form the infrastructure layer of modern AI systems, spanning model dev, retrieval, orchestration, evaluation, and MLOPS.

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

Paper • 2309.06497 • Published Sep 12, 2023 • 7
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 630
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 252
Meta Llama 3

Collection

This collection hosts the transformers and original repos of the Meta Llama 3 and Llama Guard 2 releases • 5 items • Updated Dec 6, 2024 • 967

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

Paper • 2508.06471 • Published Aug 8, 2025 • 212
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Paper • 2508.14444 • Published Aug 20, 2025 • 49
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7, 2025 • 67
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 278

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

MiniMaxAI/MiniMax-Text-01-hf

Text Generation • 456B • Updated Jul 9, 2025 • 32.2k • 11
MiniMaxAI/MiniMax-M1-80k-hf

Text Generation • 456B • Updated Jul 9, 2025 • 141 • 8
MiniMaxAI/MiniMax-M1-40k-hf

Text Generation • 456B • Updated Jul 11, 2025 • 106 • 12
MiniMaxAI/MiniMax-Text-01

Text Generation • 456B • Updated Jul 3, 2025 • 2.68k • 655

Large Language Models

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

Paper • 2506.14702 • Published Jun 17, 2025 • 3
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 278
Scaling Test-time Compute for LLM Agents

Paper • 2506.12928 • Published Jun 15, 2025 • 64
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 95

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

Paper • 2506.13585 • Published Jun 16, 2025 • 278

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 31
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 125
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Open-Source Foundations for Modern AI Systems

open-source libraries that form the infrastructure layer of modern AI systems, spanning model dev, retrieval, orchestration, evaluation, and MLOPS.

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

Paper • 2309.06497 • Published Sep 12, 2023 • 7
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 630
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 252
Meta Llama 3

Collection

This collection hosts the transformers and original repos of the Meta Llama 3 and Llama Guard 2 releases • 5 items • Updated Dec 6, 2024 • 967

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 123
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

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

Paper • 2508.06471 • Published Aug 8, 2025 • 212
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Paper • 2508.14444 • Published Aug 20, 2025 • 49
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7, 2025 • 67
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 278

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

Paper • 2508.06471 • Published Aug 8, 2025 • 212
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1, 2025 • 256
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7, 2025 • 67
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28, 2025 • 58

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

MiniMaxAI/MiniMax-Text-01-hf

Text Generation • 456B • Updated Jul 9, 2025 • 32.2k • 11
MiniMaxAI/MiniMax-M1-80k-hf

Text Generation • 456B • Updated Jul 9, 2025 • 141 • 8
MiniMaxAI/MiniMax-M1-40k-hf

Text Generation • 456B • Updated Jul 11, 2025 • 106 • 12
MiniMaxAI/MiniMax-Text-01

Text Generation • 456B • Updated Jul 3, 2025 • 2.68k • 655

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 278

Large Language Models

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

Paper • 2506.14702 • Published Jun 17, 2025 • 3
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 278
Scaling Test-time Compute for LLM Agents

Paper • 2506.12928 • Published Jun 15, 2025 • 64
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 95

FMA-Net++: Motion- and Exposure-Aware Real-World Joint Video Super-Resolution and Deblurring

Paper • 2512.04390 • Published Dec 4, 2025 • 9
Paused

12

NCTC OSINT AGENT

🔍

12

Interact with an OSINT agent to gather intelligence
Running

Agents

Featured

354

MiniMax M1

💬

354

Generate web code from your description and view it live
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 278

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

Paper • 2506.13585 • Published Jun 16, 2025 • 278

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