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Collections including paper arxiv:2501.17161

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 • 14
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

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3, 2025 • 85
When an LLM is apprehensive about its answers -- and when its uncertainty is justified

Paper • 2503.01688 • Published Mar 3, 2025 • 21
Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Paper • 2503.00808 • Published Mar 2, 2025 • 56
Chain of Draft: Thinking Faster by Writing Less

Paper • 2502.18600 • Published Feb 25, 2025 • 50

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18, 2025 • 139
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21, 2025 • 88

LM2: Large Memory Models

Paper • 2502.06049 • Published Feb 9, 2025 • 31
Titans: Learning to Memorize at Test Time

Paper • 2501.00663 • Published Dec 31, 2024 • 29
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123
You Do Not Fully Utilize Transformer's Representation Capacity

Paper • 2502.09245 • Published Feb 13, 2025 • 37

Collection of research papers I find interesting on reasoning models

Learning to Reason without External Rewards

Paper • 2505.19590 • Published May 26, 2025 • 29
Scalable Best-of-N Selection for Large Language Models via Self-Certainty

Paper • 2502.18581 • Published Feb 25, 2025
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 92
Fractured Chain-of-Thought Reasoning

Paper • 2505.12992 • Published May 19, 2025 • 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, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4, 2025 • 253
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5, 2025 • 58
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22, 2025 • 126
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 54
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 30
RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123
Process-Supervised Reinforcement Learning for Code Generation

Paper • 2502.01715 • Published Feb 3, 2025

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 • 14
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

Collection of research papers I find interesting on reasoning models

Learning to Reason without External Rewards

Paper • 2505.19590 • Published May 26, 2025 • 29
Scalable Best-of-N Selection for Large Language Models via Self-Certainty

Paper • 2502.18581 • Published Feb 25, 2025
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 92
Fractured Chain-of-Thought Reasoning

Paper • 2505.12992 • Published May 19, 2025 • 23

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123

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, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3, 2025 • 85
When an LLM is apprehensive about its answers -- and when its uncertainty is justified

Paper • 2503.01688 • Published Mar 3, 2025 • 21
Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Paper • 2503.00808 • Published Mar 2, 2025 • 56
Chain of Draft: Thinking Faster by Writing Less

Paper • 2502.18600 • Published Feb 25, 2025 • 50

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4, 2025 • 253
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5, 2025 • 58
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22, 2025 • 126
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18, 2025 • 139
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21, 2025 • 88

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 54
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

LM2: Large Memory Models

Paper • 2502.06049 • Published Feb 9, 2025 • 31
Titans: Learning to Memorize at Test Time

Paper • 2501.00663 • Published Dec 31, 2024 • 29
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123
You Do Not Fully Utilize Transformer's Representation Capacity

Paper • 2502.09245 • Published Feb 13, 2025 • 37

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 30
RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123
Process-Supervised Reinforcement Learning for Code Generation

Paper • 2502.01715 • Published Feb 3, 2025

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