Cover Image

PriorZero: Bridging Language Priors and World Models for Decision Making

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiong, Junyu, Pu, Yuan, Tang, Jia, Niu, Yazhe
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning
by: Pu, Yuan, et al.
Published: (2025)

TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation
by: Park, Jinseong, et al.
Published: (2024)

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
by: Wang, Hui-Po, et al.
Published: (2024)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
by: Meo, Cristian, et al.
Published: (2024)

The VampPrior Mixture Model
by: Stirn, Andrew A., et al.
Published: (2024)

Large Language Models are Effective Priors for Causal Graph Discovery
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)

One-shot World Models Using a Transformer Trained on a Synthetic Prior
by: Ferreira, Fabio, et al.
Published: (2024)

CleanS2S: Single-file Framework for Proactive Speech-to-Speech Interaction
by: Lu, Yudong, et al.
Published: (2025)

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
by: Li, Xijun, et al.
Published: (2025)

End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
by: Blessing, Denis, et al.
Published: (2025)

UniZero: Generalized and Efficient Planning with Scalable Latent World Models
by: Pu, Yuan, et al.
Published: (2024)

Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding
by: Long, Lin, et al.
Published: (2025)

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
by: Jayawardhana, Mayuka, et al.
Published: (2026)

Language-Model Prior Overcomes Cold-Start Items
by: Wang, Shiyu, et al.
Published: (2024)

Bayesian Concept Bottleneck Models with LLM Priors
by: Feng, Jean, et al.
Published: (2024)

Foundation Priors
by: Misra, Sanjog
Published: (2025)

On The Statistical Complexity of Offline Decision-Making
by: Nguyen-Tang, Thanh, et al.
Published: (2025)

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
by: Kang, Sinjae, et al.
Published: (2026)

Geometry of Decision Making in Language Models
by: Joshi, Abhinav, et al.
Published: (2025)

Hybrid Attribution Priors for Explainable and Robust Model Training
by: Zhang, Zhuoran, et al.
Published: (2025)

Cold-Start Personalization via Training-Free Priors from Structured World Models
by: Bose, Avinandan, et al.
Published: (2026)

Latent Introspection: Models Can Detect Prior Concept Injections
by: Pearson-Vogel, Theia, et al.
Published: (2026)

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

Comparing Prior and Learned Time Representations in Transformer Models of Timeseries
by: Koliou, Natalia, et al.
Published: (2024)

BioLM-Score: Language-Prior Conditioned Probabilistic Geometric Potentials for Protein-Ligand Scoring
by: Yang, Zhangfan, et al.
Published: (2026)

Algebraic Priors for Approximately Equivariant Networks
by: Ali, Riccardo, et al.
Published: (2025)

MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making
by: Peng, Zhihao, et al.
Published: (2025)

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
by: Liu, Jun, et al.
Published: (2026)

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
by: Jagadish, Akshay K., et al.
Published: (2024)

Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
by: Xiao, Jing, et al.
Published: (2026)

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)

NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models
by: Li, Zeming, et al.
Published: (2025)

Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport
by: Wang, Zhanpeng, et al.
Published: (2024)

FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors
by: Wang, Henan, et al.
Published: (2026)

Simulation Priors for Data-Efficient Deep Learning
by: Treven, Lenart, et al.
Published: (2025)

Geometric Prior-Guided Federated Prompt Calibration
by: Luo, Fei, et al.
Published: (2025)

Position: The Future of Bayesian Prediction Is Prior-Fitted
by: Müller, Samuel, et al.
Published: (2025)

HOLOGRAPH: Active Causal Discovery via Sheaf-Theoretic Alignment of Large Language Model Priors
by: Kim, Hyunjun
Published: (2025)

Building Decision Making Models Through Language Model Regime
by: Zhang, Yu, et al.
Published: (2024)

Reconciling Model Multiplicity for Downstream Decision Making
by: Du, Ally Yalei, et al.
Published: (2024)