Cover Image

Emergent World Representations in OpenVLA

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Molinari, Marco, Nevali, Leonardo, Navani, Saharsha, Younis, Omar G.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OpenVLA: An Open-Source Vision-Language-Action Model
by: Kim, Moo Jin, et al.
Published: (2024)

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution
by: Barla, Adam, et al.
Published: (2026)

Enhancing Linguistic Generalization of VLA: Fine-Tuning OpenVLA via Synthetic Instruction Augmentation
by: Shin, Dongik
Published: (2026)

Orthogonalized Multimodal Contrastive Learning with Asymmetric Masking for Structured Representations
by: Cissee, Carolin, et al.
Published: (2026)

Multi-agent imitation learning with function approximation: Linear Markov games and beyond
by: Viano, Luca, et al.
Published: (2026)

False Discovery Rate Control via Bayesian Mirror Statistic
by: Molinari, Marco, et al.
Published: (2025)

Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision
by: Fang, Jiayi
Published: (2026)

Rate optimal learning of equilibria from data
by: Freihaut, Till, et al.
Published: (2025)

Convergent Linear Representations of Emergent Misalignment
by: Soligo, Anna, et al.
Published: (2025)

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
by: Li, Kenneth, et al.
Published: (2022)

torchgfn: A PyTorch GFlowNet library
by: Viviano, Joseph D., et al.
Published: (2023)

Probing the Latent World: Emergent Discrete Symbols and Physical Structure in Latent Representations
by: ming, Liu hung
Published: (2026)

Distributed Representations of Entities in Open-World Knowledge Graphs
by: Guo, Lingbing, et al.
Published: (2020)

Emergent Compositional Communication for Latent World Properties
by: Kaszyński, Tomek
Published: (2026)

Breeding Programs Optimization with Reinforcement Learning
by: Younis, Omar G., et al.
Published: (2024)

Do Spatial Descriptors Improve Multi-DoF Finger Movement Decoding from HD sEMG?
by: Molinari, Ricardo Gonçalves, et al.
Published: (2025)

SimVLA: A Simple VLA Baseline for Robotic Manipulation
by: Luo, Yuankai, et al.
Published: (2026)

AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge
by: Hirose, Noriaki, et al.
Published: (2026)

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization
by: Kachaev, Nikita, et al.
Published: (2025)

Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
by: Younis, Sohaib, et al.
Published: (2024)

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
by: Mostafa, Abeer, et al.
Published: (2026)

Emergent Stack Representations in Modeling Counter Languages Using Transformers
by: Tiwari, Utkarsh, et al.
Published: (2025)

Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
by: Younis, Ali, et al.
Published: (2024)

OBSR: Open Benchmark for Spatial Representations
by: Moska, Julia, et al.
Published: (2025)

Robust Agents in Open-Ended Worlds
by: Samvelyan, Mikayel
Published: (2025)

Stochastic Zeroth order Descent with Structured Directions
by: Rando, Marco, et al.
Published: (2022)

Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA
by: Zhao, Pu, et al.
Published: (2025)

Cluster Specific Representation Learning
by: Sabanayagam, Mahalakshmi, et al.
Published: (2024)

Inference for an Algorithmic Fairness-Accuracy Frontier
by: Liu, Yiqi, et al.
Published: (2024)

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
by: Myers, Vivek, et al.
Published: (2025)

Emergent Abilities in Large Language Models: A Survey
by: Berti, Leonardo, et al.
Published: (2025)

Towards Robust Multimodal Learning in the Open World
by: Huo, Fushuo
Published: (2025)

Learning to be Smooth: An End-to-End Differentiable Particle Smoother
by: Younis, Ali, et al.
Published: (2025)

Graph Condensation for Open-World Graph Learning
by: Gao, Xinyi, et al.
Published: (2024)

POWN: Prototypical Open-World Node Classification
by: Hoffmann, Marcel, et al.
Published: (2024)

PointVLA: Injecting the 3D World into Vision-Language-Action Models
by: Li, Chengmeng, et al.
Published: (2025)

Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models
by: Toso, Leonardo F., et al.
Published: (2026)

Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models
by: Karvonen, Adam
Published: (2024)

Fixed Point Explainability
by: La Malfa, Emanuele, et al.
Published: (2025)

Multi-View Polymer Representations for the Open Polymer Prediction
by: Jung, Wonjin, et al.
Published: (2025)