Selective Transfer of RL Updates for Visual Reasoning
cs.CV, cs.AI
Submitted: 2026-10-06
Updated: 2026-10-06
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Qwen3-VL Technical Report
- Training Verifiers to Solve Math Word Problems
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
- The Llama 3 Herd of Models
- Editing Models with Task Arithmetic
- Mistral 7B
- What matters when building vision-language models?
- What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis
- OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
- TIES-Merging: Resolving Interference When Merging Models
- Qwen3 Technical Report
- MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models