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Collections including paper arxiv:2501.03262

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

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
Agentic Entropy-Balanced Policy Optimization

Paper • 2510.14545 • Published Oct 16, 2025 • 104
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Paper • 2510.18927 • Published Oct 21, 2025 • 83

Packing Input Frame Context in Next-Frame Prediction Models for Video Generation

Paper • 2504.12626 • Published Apr 17, 2025 • 51
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 321
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4, 2025 • 268
DINOv3

Paper • 2508.10104 • Published Aug 13, 2025 • 291

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103

Reinforce learning 🔃

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published Feb 3, 2025 • 113
Process Reinforcement through Implicit Rewards

Paper • 2502.01456 • Published Feb 3, 2025 • 61

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 60
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 48

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14, 2025 • 300
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24, 2025 • 316
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4, 2025 • 210

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

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14, 2025 • 300
Towards Best Practices for Open Datasets for LLM Training

Paper • 2501.08365 • Published Jan 14, 2025 • 62
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26, 2025 • 72

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training

Paper • 2503.08525 • Published Mar 11, 2025 • 17

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

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 60
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 48

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
Agentic Entropy-Balanced Policy Optimization

Paper • 2510.14545 • Published Oct 16, 2025 • 104
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Paper • 2510.18927 • Published Oct 21, 2025 • 83

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14, 2025 • 300
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24, 2025 • 316
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4, 2025 • 210

Packing Input Frame Context in Next-Frame Prediction Models for Video Generation

Paper • 2504.12626 • Published Apr 17, 2025 • 51
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 321
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4, 2025 • 268
DINOv3

Paper • 2508.10104 • Published Aug 13, 2025 • 291

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

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14, 2025 • 300
Towards Best Practices for Open Datasets for LLM Training

Paper • 2501.08365 • Published Jan 14, 2025 • 62
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26, 2025 • 72

Reinforce learning 🔃

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published Feb 3, 2025 • 113
Process Reinforcement through Implicit Rewards

Paper • 2502.01456 • Published Feb 3, 2025 • 61

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 103
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training

Paper • 2503.08525 • Published Mar 11, 2025 • 17

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