:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yucen, Yu, Rui, Zhang, Fengming, Lu, Junjie, Qin, Xinyao, Zhang, Tianxiang, Wang, Kaixin, Zhao, Li
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.12334
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Do VLAs Effectively Inherit from VLMs?
by: Zhang, Chuheng, et al.
Published: (2025)

How VLAs (Really) Work In Open-World Environments
by: Rasouli, Amir, et al.
Published: (2026)

Co-Evolving Latent Action World Models
by: Wang, Yucen, et al.
Published: (2025)

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
by: Wang, Yucen, et al.
Published: (2025)

Reward Models in Deep Reinforcement Learning: A Survey
by: Yu, Rui, et al.
Published: (2025)

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
by: Choi, Andrew, et al.
Published: (2026)

Task-Agnostic Learning to Accomplish New Tasks
by: Zhang, Xianqi, et al.
Published: (2022)

Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories
by: Yang, Rushuai, et al.
Published: (2025)

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
by: Du, Zhekai, et al.
Published: (2024)

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
by: Chen, Xiaoyu, et al.
Published: (2025)

PathGPT: Reframing Path Recommendation as a Natural Language Generation Task with Retrieval-Augmented Language Models
by: Marcelyn, Steeve Cuthbert, et al.
Published: (2025)

SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation
by: Luan, Wuyang, et al.
Published: (2026)

Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
by: Li, Quan, et al.
Published: (2024)

HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
by: Wang, Fali, et al.
Published: (2024)

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference
by: Tang, Jiaming, et al.
Published: (2025)

Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
by: Fan, Chenyou, et al.
Published: (2024)

How Far is Video Generation from World Model: A Physical Law Perspective
by: Kang, Bingyi, et al.
Published: (2024)

VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs
by: Yuan, Haoran, et al.
Published: (2026)

Improving Token-Based World Models with Parallel Observation Prediction
by: Cohen, Lior, et al.
Published: (2024)

Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
by: Zeng, Kai, et al.
Published: (2025)

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
by: Zhang, Ranxu, et al.
Published: (2026)

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
by: Qian, Fuyuan, et al.
Published: (2026)

L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning (Preprint)
by: Xu, Tianxiang, et al.
Published: (2025)

Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection
by: Chen, Meng, et al.
Published: (2026)

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
by: Jiang, Zhennan, et al.
Published: (2025)

Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs
by: Zhao, Jianchao, et al.
Published: (2026)

Simulus: Combining Improvements in Sample-Efficient World Model Agents
by: Cohen, Lior, et al.
Published: (2025)

VLA-0: Building State-of-the-Art VLAs with Zero Modification
by: Goyal, Ankit, et al.
Published: (2025)

Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
by: Yu, Fengming, et al.
Published: (2025)

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
by: Wang, Yiqi, et al.
Published: (2025)

DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
by: Zhang, Kaixin, et al.
Published: (2025)

Beyond Visual Safety: Jailbreaking Multimodal Large Language Models for Harmful Image Generation via Semantic-Agnostic Inputs
by: Yu, Mingyu, et al.
Published: (2026)

VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
by: Wang, Kangrui, et al.
Published: (2025)

Model Evolution Framework with Genetic Algorithm for Multi-Task Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)

FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation
by: Li, Bangzheng, et al.
Published: (2024)

World-Gymnast: Training Robots with Reinforcement Learning in a World Model
by: Sharma, Ansh Kumar, et al.
Published: (2026)

CONCERTO: Complex Query Execution Mechanism-Aware Learned Cost Estimation
by: Zhang, Kaixin, et al.
Published: (2024)

Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
by: Ren, Weijieying, et al.
Published: (2024)

Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs
by: Priyadershi, Abhinaw, et al.
Published: (2026)

Agnostic Reinforcement Learning: Foundations and Algorithms
by: Li, Gene
Published: (2025)