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Collections including paper arxiv:2502.18449

RL+reason model

about 22 hours ago

RL + Transformer = A General-Purpose Problem Solver

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

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

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 5

S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published Feb 20 • 63
o1-Coder: an o1 Replication for Coding

Paper • 2412.00154 • Published Nov 29, 2024 • 45
Competitive Programming with Large Reasoning Models

Paper • 2502.06807 • Published Feb 3 • 69
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 114
Towards an AI co-scientist

Paper • 2502.18864 • Published Feb 26 • 52
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74
MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Paper • 2502.14499 • Published Feb 20 • 193

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74
Running on Zero

25

25

MoD ControlNet Tile Upscaler SDXL

🚀

Mixture of Diffusers and ControlNet Tile Upscaler for SDXL
Runtime error

1.81k

1.81k

Wan2.1

💻

Wan: Open and Advanced Large-Scale Video Generative Models
Running on Zero

8.99k

8.99k

FLUX.1 [dev]

🖥

Generate images from text prompts

RL/RL-like methods

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems

Paper • 2502.19328 • Published Feb 26 • 22
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Paper • 2502.20396 • Published Feb 27 • 16
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 82

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 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 63
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 121
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 114
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 137

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

RL+reason model

about 22 hours ago

RL + Transformer = A General-Purpose Problem Solver

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

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

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 5

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 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published Feb 20 • 63
o1-Coder: an o1 Replication for Coding

Paper • 2412.00154 • Published Nov 29, 2024 • 45
Competitive Programming with Large Reasoning Models

Paper • 2502.06807 • Published Feb 3 • 69
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 63
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 121
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 114
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 137

START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 114
Towards an AI co-scientist

Paper • 2502.18864 • Published Feb 26 • 52
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74
MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Paper • 2502.14499 • Published Feb 20 • 193

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74
Running on Zero

25

25

MoD ControlNet Tile Upscaler SDXL

🚀

Mixture of Diffusers and ControlNet Tile Upscaler for SDXL
Runtime error

1.81k

1.81k

Wan2.1

💻

Wan: Open and Advanced Large-Scale Video Generative Models
Running on Zero

8.99k

8.99k

FLUX.1 [dev]

🖥

Generate images from text prompts

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

RL/RL-like methods

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems

Paper • 2502.19328 • Published Feb 26 • 22
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Paper • 2502.20396 • Published Feb 27 • 16
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 82

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 74

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