Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Bao, Yicheng, Wang, Xuhong, Zhang, Qiaosheng, Lu, Chaochao, Hu, Xia, Tan, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Epistemic Traps: Rational Misalignment Driven by Model Misspecification
by: Xu, Xingcheng, et al.
Published: (2026)
by: Xu, Xingcheng, et al.
Published: (2026)
On Predictability of Reinforcement Learning Dynamics for Large Language Models
by: Cai, Yuchen, et al.
Published: (2025)
by: Cai, Yuchen, et al.
Published: (2025)
Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning
by: Su, Jiajie, et al.
Published: (2026)
by: Su, Jiajie, et al.
Published: (2026)
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
by: Liu, Zongkai, et al.
Published: (2025)
by: Liu, Zongkai, et al.
Published: (2025)
Adversarial Preference Learning for Robust LLM Alignment
by: Wang, Yuanfu, et al.
Published: (2025)
by: Wang, Yuanfu, et al.
Published: (2025)
MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety
by: Wen, Xiaoyu, et al.
Published: (2026)
by: Wen, Xiaoyu, et al.
Published: (2026)
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)
by: Wang, Changhong, et al.
Published: (2024)
Maintaining Adversarial Robustness in Continuous Learning
by: Ru, Xiaolei, et al.
Published: (2024)
by: Ru, Xiaolei, et al.
Published: (2024)
Adversarial Reinforcement Learning for Large Language Model Agent Safety
by: Wang, Zizhao, et al.
Published: (2025)
by: Wang, Zizhao, et al.
Published: (2025)
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024)
by: Herremans, Siemen, et al.
Published: (2024)
Adversarial Diffusion for Robust Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2025)
by: Foffano, Daniele, et al.
Published: (2025)
Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning
by: He, Qianxi, et al.
Published: (2025)
by: He, Qianxi, et al.
Published: (2025)
UACER: An Uncertainty-Adaptive Critic Ensemble Framework for Robust Adversarial Reinforcement Learning
by: Wu, Jiaxi, et al.
Published: (2025)
by: Wu, Jiaxi, et al.
Published: (2025)
Reinforcement Learning with Promising Tokens for Large Language Models
by: Pang, Jing-Cheng, et al.
Published: (2026)
by: Pang, Jing-Cheng, et al.
Published: (2026)
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
by: Wang, Shumin, et al.
Published: (2026)
by: Wang, Shumin, et al.
Published: (2026)
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
by: Li, Yuxuan, et al.
Published: (2025)
by: Li, Yuxuan, et al.
Published: (2025)
Large Language Model-Powered Evolutionary Code Optimization on a Phylogenetic Tree
by: Zhao, Leyi, et al.
Published: (2026)
by: Zhao, Leyi, et al.
Published: (2026)
AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
by: Yeh, Cheng-Kai, et al.
Published: (2025)
by: Yeh, Cheng-Kai, et al.
Published: (2025)
Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking
by: He, Zhida, et al.
Published: (2026)
by: He, Zhida, et al.
Published: (2026)
Native Reasoning Models: Training Language Models to Reason on Unverifiable Data
by: Wang, Yuanfu, et al.
Published: (2026)
by: Wang, Yuanfu, et al.
Published: (2026)
TCR-GPT: Integrating Autoregressive Model and Reinforcement Learning for T-Cell Receptor Repertoires Generation
by: Lin, Yicheng, et al.
Published: (2024)
by: Lin, Yicheng, et al.
Published: (2024)
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
by: Fan, Junchao, et al.
Published: (2025)
by: Fan, Junchao, et al.
Published: (2025)
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
by: Ramesh, Shyam Sundhar, et al.
Published: (2023)
by: Ramesh, Shyam Sundhar, et al.
Published: (2023)
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)
by: Liu, Qianmei, et al.
Published: (2024)
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025)
by: Xie, Zhengpeng, et al.
Published: (2025)
IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval
by: Liu, Bangwei, et al.
Published: (2025)
by: Liu, Bangwei, et al.
Published: (2025)
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
by: Su, Guangxin, et al.
Published: (2024)
by: Su, Guangxin, et al.
Published: (2024)
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
by: Hu, Yaowei, et al.
Published: (2024)
by: Hu, Yaowei, et al.
Published: (2024)
KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning
by: Lv, Qitan, et al.
Published: (2026)
by: Lv, Qitan, et al.
Published: (2026)
Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
by: Sun, Yan, et al.
Published: (2025)
by: Sun, Yan, et al.
Published: (2025)
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
by: Ye, Kai, et al.
Published: (2025)
by: Ye, Kai, 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)
by: Deng, Yongxin, et al.
Published: (2024)
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
by: Yamabe, Shojiro, et al.
Published: (2024)
by: Yamabe, Shojiro, et al.
Published: (2024)
Efficient Table Retrieval and Understanding with Multimodal Large Language Models
by: Xu, Zhuoyan, et al.
Published: (2026)
by: Xu, Zhuoyan, et al.
Published: (2026)
Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
by: Cao, Hongyu, et al.
Published: (2026)
by: Cao, Hongyu, et al.
Published: (2026)
Integration of Large Language Models and Federated Learning
by: Chen, Chaochao, et al.
Published: (2023)
by: Chen, Chaochao, et al.
Published: (2023)
ICL-Router: In-Context Learned Model Representations for LLM Routing
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
Hyperbolic Learning with Multimodal Large Language Models
by: Mandica, Paolo, et al.
Published: (2024)
by: Mandica, Paolo, et al.
Published: (2024)
Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference
by: Xie, Wenxuan, et al.
Published: (2026)
by: Xie, Wenxuan, et al.
Published: (2026)
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
by: Bao, Jie, et al.
Published: (2025)
by: Bao, Jie, et al.
Published: (2025)
Similar Items
-
Epistemic Traps: Rational Misalignment Driven by Model Misspecification
by: Xu, Xingcheng, et al.
Published: (2026) -
On Predictability of Reinforcement Learning Dynamics for Large Language Models
by: Cai, Yuchen, et al.
Published: (2025) -
Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning
by: Su, Jiajie, et al.
Published: (2026) -
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
by: Liu, Zongkai, et al.
Published: (2025) -
Adversarial Preference Learning for Robust LLM Alignment
by: Wang, Yuanfu, et al.
Published: (2025)