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Collections including paper arxiv:2502.20545

about 9 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 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Large Language Models Think Too Fast To Explore Effectively

Paper • 2501.18009 • Published Jan 29 • 24
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31 • 125
Scalable-Softmax Is Superior for Attention

Paper • 2501.19399 • Published Jan 31 • 22
SoS1: O1 and R1-Like Reasoning LLMs are Sum-of-Square Solvers

Paper • 2502.20545 • Published Feb 27 • 22

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 100
Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

Paper • 2502.03544 • Published Feb 5 • 44
FoNE: Precise Single-Token Number Embeddings via Fourier Features

Paper • 2502.09741 • Published Feb 13 • 15
SoS1: O1 and R1-Like Reasoning LLMs are Sum-of-Square Solvers

Paper • 2502.20545 • Published Feb 27 • 22

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Paper • 2502.19361 • Published Feb 26 • 28
Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning

Paper • 2502.17407 • Published Feb 24 • 26
Small Models Struggle to Learn from Strong Reasoners

Paper • 2502.12143 • Published Feb 17 • 39
Language Models can Self-Improve at State-Value Estimation for Better Search

Paper • 2503.02878 • Published Mar 4 • 10

RL+reason model

about 16 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

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 40
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 47
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 38
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 48

about 9 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 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Paper • 2502.19361 • Published Feb 26 • 28
Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning

Paper • 2502.17407 • Published Feb 24 • 26
Small Models Struggle to Learn from Strong Reasoners

Paper • 2502.12143 • Published Feb 17 • 39
Language Models can Self-Improve at State-Value Estimation for Better Search

Paper • 2503.02878 • Published Mar 4 • 10

Large Language Models Think Too Fast To Explore Effectively

Paper • 2501.18009 • Published Jan 29 • 24
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31 • 125
Scalable-Softmax Is Superior for Attention

Paper • 2501.19399 • Published Jan 31 • 22
SoS1: O1 and R1-Like Reasoning LLMs are Sum-of-Square Solvers

Paper • 2502.20545 • Published Feb 27 • 22

RL+reason model

about 16 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

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 100
Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

Paper • 2502.03544 • Published Feb 5 • 44
FoNE: Precise Single-Token Number Embeddings via Fourier Features

Paper • 2502.09741 • Published Feb 13 • 15
SoS1: O1 and R1-Like Reasoning LLMs are Sum-of-Square Solvers

Paper • 2502.20545 • Published Feb 27 • 22

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 40
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 47
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 38
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 48

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