Cover Image

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Guanghao, Qiu, Panjia, Chen, Cen, Wang, Jie, Yang, Zheming, Xu, Jian, Qiu, Minghui
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion
by: Zhou, Guanghao, et al.
Published: (2026)

CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models
by: Zhou, Guanghao, et al.
Published: (2025)

Valley: Video Assistant with Large Language model Enhanced abilitY
by: Luo, Ruipu, et al.
Published: (2023)

Valley3: Scaling Omni Foundation Models for E-commerce
by: Chen, Zeyu, et al.
Published: (2026)

From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation
by: Wang, Yongqi, et al.
Published: (2026)

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials
by: Li, Yanjie, et al.
Published: (2026)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
by: Xu, Fengli, et al.
Published: (2025)

DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning
by: Qiu, Hongye, et al.
Published: (2025)

SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression
by: Xu, Han, et al.
Published: (2026)

MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism
by: Liu, Shulin, et al.
Published: (2025)

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
by: Xie, Tian, et al.
Published: (2025)

From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language Models
by: Zhou, Chenyue, et al.
Published: (2025)

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
by: Guo, Yiran, et al.
Published: (2025)

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
by: Liu, Mingjie, et al.
Published: (2025)

Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
by: Wang, Rui, et al.
Published: (2025)

Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods
by: Liu, Weichen, et al.
Published: (2025)

UloRL:An Ultra-Long Output Reinforcement Learning Approach for Advancing Large Language Models' Reasoning Abilities
by: Du, Dong, et al.
Published: (2025)

SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning
by: Liu, Yihao, et al.
Published: (2025)

Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games
by: Fan, Mingyuan, et al.
Published: (2026)

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
by: Zhang, Jianyi, et al.
Published: (2024)

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking
by: Zhan, Yufei, et al.
Published: (2025)

Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
by: Deng, Yongxin, et al.
Published: (2024)

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
by: Liu, Zeyu, et al.
Published: (2025)

SafeRBench: Dissecting the Reasoning Safety of Large Language Models
by: Gao, Xin, et al.
Published: (2025)

Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
by: Wang, Yiqi, et al.
Published: (2024)

MLLM-CL: Continual Learning for Multimodal Large Language Models
by: Zhao, Hongbo, et al.
Published: (2025)

MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
by: Wang, Liman, et al.
Published: (2025)

A Survey on Large Language Models for Mathematical Reasoning
by: Wang, Peng-Yuan, et al.
Published: (2025)

Generalizability of Large Language Model-Based Agents: A Comprehensive Survey
by: Zhang, Minxing, et al.
Published: (2025)

A Survey of Inductive Reasoning for Large Language Models
by: Chen, Kedi, et al.
Published: (2025)

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
by: Ruan, Jiaoyang, et al.
Published: (2026)

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO
by: Yao, Huanjin, et al.
Published: (2025)

SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data
by: Fang, Wenkai, et al.
Published: (2025)

A Survey of Scaling in Large Language Model Reasoning
by: Chen, Zihan, et al.
Published: (2025)

Unlocking Emergent Modularity in Large Language Models
by: Qiu, Zihan, et al.
Published: (2023)

Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security
by: Zhao, Wei, et al.
Published: (2025)

MLLM-Microscope: Unlocking Hidden Structure Within Multimodal Large Language Models
by: Mussabayev, Ravil, et al.
Published: (2026)

SpeakRL: Synergizing Reasoning, Speaking, and Acting in Language Models with Reinforcement Learning
by: Acikgoz, Emre Can, et al.
Published: (2025)

LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
by: Qiu, Ruiyu, et al.
Published: (2025)

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
by: Fang, Yiyang, et al.
Published: (2026)