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Collections including paper arxiv:2503.01785

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 496
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Paper • 2506.05176 • Published Jun 5 • 74
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Paper • 2506.04207 • Published Jun 4 • 48
MiMo-VL Technical Report

Paper • 2506.03569 • Published Jun 4 • 80
UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Paper • 2506.03147 • Published Jun 3 • 58

Reinforcement Fine Tuning

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

Large-Scale Data Selection for Instruction Tuning

Paper • 2503.01807 • Published Mar 3 • 14
AI-Invented Tonal Languages: Preventing a Machine Lingua Franca Beyond Human Understanding

Paper • 2503.01063 • Published Mar 2 • 5
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Paper • 2503.01743 • Published Mar 3 • 89

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published Feb 20 • 47
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published Feb 18 • 29
Diverse Inference and Verification for Advanced Reasoning

Paper • 2502.09955 • Published Feb 14 • 18
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 47

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

papers about VLM reasoning

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

Paper • 2503.17352 • Published Mar 21 • 24
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Paper • 2412.05271 • Published Dec 6, 2024 • 159
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning

Paper • 2503.05379 • Published Mar 7 • 38

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Paper • 2502.19634 • Published Feb 26 • 63

Visual-RFT: Visual Reinforcement Fine-Tuning

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

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

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

Paper • 2502.18600 • Published Feb 25 • 50

RL/RL-like methods

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

Paper • 2502.19328 • Published Feb 26 • 23
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Paper • 2502.20396 • Published Feb 27 • 15
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 496
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Paper • 2506.05176 • Published Jun 5 • 74
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Paper • 2506.04207 • Published Jun 4 • 48
MiMo-VL Technical Report

Paper • 2506.03569 • Published Jun 4 • 80
UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Paper • 2506.03147 • Published Jun 3 • 58

papers about VLM reasoning

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

Paper • 2503.17352 • Published Mar 21 • 24
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Paper • 2412.05271 • Published Dec 6, 2024 • 159
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning

Paper • 2503.05379 • Published Mar 7 • 38

Reinforcement Fine Tuning

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Paper • 2502.19634 • Published Feb 26 • 63

Large-Scale Data Selection for Instruction Tuning

Paper • 2503.01807 • Published Mar 3 • 14
AI-Invented Tonal Languages: Preventing a Machine Lingua Franca Beyond Human Understanding

Paper • 2503.01063 • Published Mar 2 • 5
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Paper • 2503.01743 • Published Mar 3 • 89

Visual-RFT: Visual Reinforcement Fine-Tuning

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

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

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

Paper • 2502.18600 • Published Feb 25 • 50

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published Feb 20 • 47
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published Feb 18 • 29
Diverse Inference and Verification for Advanced Reasoning

Paper • 2502.09955 • Published Feb 14 • 18
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 47

RL/RL-like methods

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

Paper • 2502.19328 • Published Feb 26 • 23
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Paper • 2502.20396 • Published Feb 27 • 15
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

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