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Collections including paper arxiv:2503.16219

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

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 59
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52

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

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

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

Paper • 2503.14476 • Published Mar 18 • 144

Model weights & datasets in the paper "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t"

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
knoveleng/OpenRS-GRPO

Text Generation • 2B • Updated Mar 21 • 16 • 5
knoveleng/Open-RS1

Text Generation • 2B • Updated Mar 24 • 22 • 4
knoveleng/Open-RS2

Text Generation • 2B • Updated Mar 24 • 37 • 1

RLMs (Reasoning Language Models)

LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Paper • 2503.00735 • Published Mar 2 • 23
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Paper • 2503.05592 • Published Mar 7 • 27
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning

Paper • 2503.05379 • Published Mar 7 • 38

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29 • 98
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 60
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Performance Trade-offs of Optimizing Small Language Models for E-Commerce

Paper • 2510.21970 • Published Oct 24 • 2

Skywork Open Reasoner 1 Technical Report

Paper • 2505.22312 • Published May 28 • 54
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities

Paper • 2505.21191 • Published May 27 • 3
Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Paper • 2505.03335 • Published May 6 • 188
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317

Natural Language Reinforcement Learning

Paper • 2411.14251 • Published Nov 21, 2024 • 31
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50

RuCCoD: Towards Automated ICD Coding in Russian

Paper • 2502.21263 • Published Feb 28 • 133
Unified Reward Model for Multimodal Understanding and Generation

Paper • 2503.05236 • Published Mar 7 • 122
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Paper • 2503.05592 • Published Mar 7 • 27

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 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

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

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29 • 98
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 60
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Performance Trade-offs of Optimizing Small Language Models for E-Commerce

Paper • 2510.21970 • Published Oct 24 • 2

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 59
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52

Skywork Open Reasoner 1 Technical Report

Paper • 2505.22312 • Published May 28 • 54
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities

Paper • 2505.21191 • Published May 27 • 3
Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Paper • 2505.03335 • Published May 6 • 188
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317

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

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

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

Paper • 2503.14476 • Published Mar 18 • 144

Natural Language Reinforcement Learning

Paper • 2411.14251 • Published Nov 21, 2024 • 31
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50

Model weights & datasets in the paper "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t"

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
knoveleng/OpenRS-GRPO

Text Generation • 2B • Updated Mar 21 • 16 • 5
knoveleng/Open-RS1

Text Generation • 2B • Updated Mar 24 • 22 • 4
knoveleng/Open-RS2

Text Generation • 2B • Updated Mar 24 • 37 • 1

RuCCoD: Towards Automated ICD Coding in Russian

Paper • 2502.21263 • Published Feb 28 • 133
Unified Reward Model for Multimodal Understanding and Generation

Paper • 2503.05236 • Published Mar 7 • 122
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Paper • 2503.05592 • Published Mar 7 • 27

RLMs (Reasoning Language Models)

LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Paper • 2503.00735 • Published Mar 2 • 23
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Paper • 2503.05592 • Published Mar 7 • 27
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning

Paper • 2503.05379 • Published Mar 7 • 38

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 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

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