Decompose, Look, and Reason: Reinforced Latent Reasoning for VLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Mengdan, Cheng, Senhao, Zhao, Liang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation
by: Zhu, Mengdan, et al.
Published: (2025)
by: Zhu, Mengdan, et al.
Published: (2025)
Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation
by: Zhu, Mengdan, et al.
Published: (2026)
by: Zhu, Mengdan, et al.
Published: (2026)
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026)
by: Chen, Zhipeng, et al.
Published: (2026)
Incentivizing Neuro-symbolic Language-based Reasoning in VLMs via Reinforcement Learning
by: Palaniappan, Karthic
Published: (2026)
by: Palaniappan, Karthic
Published: (2026)
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models
by: Zhu, Mengdan, et al.
Published: (2024)
by: Zhu, Mengdan, et al.
Published: (2024)
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
by: Lu, Meng, et al.
Published: (2025)
by: Lu, Meng, et al.
Published: (2025)
Hybrid Latent Reasoning via Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2025)
by: Yue, Zhenrui, et al.
Published: (2025)
LLM Latent Reasoning as Chain of Superposition
by: Deng, Jingcheng, et al.
Published: (2025)
by: Deng, Jingcheng, et al.
Published: (2025)
Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners
by: Liu, Yihong, et al.
Published: (2026)
by: Liu, Yihong, et al.
Published: (2026)
A Survey on Latent Reasoning
by: Zhu, Rui-Jie, et al.
Published: (2025)
by: Zhu, Rui-Jie, et al.
Published: (2025)
[De|Re]constructing VLMs' Reasoning in Counting
by: Alghisi, Simone, et al.
Published: (2025)
by: Alghisi, Simone, et al.
Published: (2025)
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
by: Shen, Yifan, et al.
Published: (2025)
by: Shen, Yifan, et al.
Published: (2025)
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
by: Xu, Shicheng, et al.
Published: (2025)
by: Xu, Shicheng, et al.
Published: (2025)
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
by: Chen, Shiqi, et al.
Published: (2025)
by: Chen, Shiqi, et al.
Published: (2025)
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
by: Carbune, Victor, et al.
Published: (2024)
by: Carbune, Victor, et al.
Published: (2024)
Self-Enhanced Reasoning Training: Activating Latent Reasoning in Small Models for Enhanced Reasoning Distillation
by: Zhang, Yong, et al.
Published: (2025)
by: Zhang, Yong, et al.
Published: (2025)
Latent Thoughts Tuning: Bridging Context and Reasoning with Fused Information in Latent Tokens
by: Liu, Weihao, et al.
Published: (2026)
by: Liu, Weihao, et al.
Published: (2026)
PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning
by: Yoon, Hee Suk, et al.
Published: (2026)
by: Yoon, Hee Suk, et al.
Published: (2026)
CoLT: Reasoning with Chain of Latent Tool Calls
by: Zhu, Fangwei, et al.
Published: (2026)
by: Zhu, Fangwei, et al.
Published: (2026)
Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
by: Lei, Fangyu, et al.
Published: (2025)
by: Lei, Fangyu, et al.
Published: (2025)
Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning
by: Chen, Xinghao, et al.
Published: (2025)
by: Chen, Xinghao, et al.
Published: (2025)
JEPA-Reasoner: Decoupling Latent Reasoning from Token Generation
by: Liu, Bingyang Kelvin, et al.
Published: (2025)
by: Liu, Bingyang Kelvin, et al.
Published: (2025)
Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
by: Deng, Jingcheng, et al.
Published: (2026)
by: Deng, Jingcheng, et al.
Published: (2026)
Latent Visual Reasoning
by: Li, Bangzheng, et al.
Published: (2025)
by: Li, Bangzheng, et al.
Published: (2025)
The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs
by: Chen, Jierun, et al.
Published: (2025)
by: Chen, Jierun, et al.
Published: (2025)
Do Multilingual VLMs Reason Equally? A Cross-Lingual Visual Reasoning Audit for Indian Languages
by: R, Swastik
Published: (2026)
by: R, Swastik
Published: (2026)
Enhancing Large Language Model with Decomposed Reasoning for Emotion Cause Pair Extraction
by: Wu, Jialiang, et al.
Published: (2024)
by: Wu, Jialiang, et al.
Published: (2024)
SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning
by: Wen, Cheng, et al.
Published: (2025)
by: Wen, Cheng, et al.
Published: (2025)
Reasmory: 3D Reconstruction as Explicit Memory for VLMs Spatial Reasoning
by: He, Jixuan, et al.
Published: (2026)
by: He, Jixuan, et al.
Published: (2026)
Lightweight Latent Reasoning for Narrative Tasks
by: Gurung, Alexander, et al.
Published: (2025)
by: Gurung, Alexander, et al.
Published: (2025)
iVISPAR -- An Interactive Visual-Spatial Reasoning Benchmark for VLMs
by: Mayer, Julius, et al.
Published: (2025)
by: Mayer, Julius, et al.
Published: (2025)
Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework
by: Xu, Jundong, et al.
Published: (2024)
by: Xu, Jundong, et al.
Published: (2024)
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
Scaling Latent Reasoning via Looped Language Models
by: Zhu, Rui-Jie, et al.
Published: (2025)
by: Zhu, Rui-Jie, et al.
Published: (2025)
Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs
by: Elmansoury, Sary, et al.
Published: (2025)
by: Elmansoury, Sary, et al.
Published: (2025)
FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
LaTER: Efficient Test-Time Reasoning via Latent Exploration and Explicit Verification
by: Li, Xuan, et al.
Published: (2026)
by: Li, Xuan, et al.
Published: (2026)
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
by: Park, Simon, et al.
Published: (2025)
by: Park, Simon, et al.
Published: (2025)
VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs
by: Liu, Peng, et al.
Published: (2025)
by: Liu, Peng, et al.
Published: (2025)
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
by: Xu, Zifan, et al.
Published: (2023)
by: Xu, Zifan, et al.
Published: (2023)
Similar Items
-
Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation
by: Zhu, Mengdan, et al.
Published: (2025) -
Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation
by: Zhu, Mengdan, et al.
Published: (2026) -
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026) -
Incentivizing Neuro-symbolic Language-based Reasoning in VLMs via Reinforcement Learning
by: Palaniappan, Karthic
Published: (2026) -
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models
by: Zhu, Mengdan, et al.
Published: (2024)