Next Embedding Prediction Makes World Models Stronger
Fuente:
arXiv
Saved in:
| Main Authors: | Bredis, George, Balagansky, Nikita, Gavrilov, Daniil, Rakhimov, Ruslan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success
by: Bredis, George, et al.
Published: (2025)
by: Bredis, George, et al.
Published: (2025)
Teach Old SAEs New Domain Tricks with Boosting
by: Koriagin, Nikita, et al.
Published: (2025)
by: Koriagin, Nikita, et al.
Published: (2025)
Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy
by: Balagansky, Nikita, et al.
Published: (2025)
by: Balagansky, Nikita, et al.
Published: (2025)
Trust-Region Behavior Blending for On-Policy Distillation
by: Plyusov, Daniil, et al.
Published: (2026)
by: Plyusov, Daniil, et al.
Published: (2026)
Steering LLM Reasoning Through Bias-Only Adaptation
by: Sinii, Viacheslav, et al.
Published: (2025)
by: Sinii, Viacheslav, et al.
Published: (2025)
Mechanistic Permutability: Match Features Across Layers
by: Balagansky, Nikita, et al.
Published: (2024)
by: Balagansky, Nikita, et al.
Published: (2024)
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
by: Laptev, Daniil, et al.
Published: (2025)
by: Laptev, Daniil, et al.
Published: (2025)
Diffusion Language Models Generation Can Be Halted Early
by: Vaina, Sofia Maria Lo Cicero, et al.
Published: (2023)
by: Vaina, Sofia Maria Lo Cicero, et al.
Published: (2023)
Kronecker Factorization Improves Efficiency and Interpretability of Sparse Autoencoders
by: Kurochkin, Vadim, et al.
Published: (2025)
by: Kurochkin, Vadim, et al.
Published: (2025)
You Do Not Fully Utilize Transformer's Representation Capacity
by: Gerasimov, Gleb, et al.
Published: (2025)
by: Gerasimov, Gleb, et al.
Published: (2025)
Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task
by: Bhalla, Brady, et al.
Published: (2025)
by: Bhalla, Brady, et al.
Published: (2025)
LLMBoost: Make Large Language Models Stronger with Boosting
by: Chen, Zehao, et al.
Published: (2025)
by: Chen, Zehao, et al.
Published: (2025)
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare
by: Plyusov, Daniil, et al.
Published: (2026)
by: Plyusov, Daniil, et al.
Published: (2026)
Learn Your Reference Model for Real Good Alignment
by: Gorbatovski, Alexey, et al.
Published: (2024)
by: Gorbatovski, Alexey, et al.
Published: (2024)
Reverse Thinking Makes LLMs Stronger Reasoners
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
by: Aksenov, Yaroslav, et al.
Published: (2024)
by: Aksenov, Yaroslav, et al.
Published: (2024)
Learning Shortest Paths with Generative Flow Networks
by: Morozov, Nikita, et al.
Published: (2026)
by: Morozov, Nikita, et al.
Published: (2026)
GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization
by: Sidorov, Gennady, et al.
Published: (2024)
by: Sidorov, Gennady, et al.
Published: (2024)
Small Vectors, Big Effects: A Mechanistic Study of RL-Induced Reasoning via Steering Vectors
by: Sinii, Viacheslav, et al.
Published: (2025)
by: Sinii, Viacheslav, et al.
Published: (2025)
UrbanAI 2025 Challenge: Linear vs Transformer Models for Long-Horizon Exogenous Temperature Forecasting
by: Gokhman, Ruslan
Published: (2025)
by: Gokhman, Ruslan
Published: (2025)
ESSA: Evolutionary Strategies for Scalable Alignment
by: Korotyshova, Daria, et al.
Published: (2025)
by: Korotyshova, Daria, et al.
Published: (2025)
Contrastive Difference Predictive Coding
by: Zheng, Chongyi, et al.
Published: (2023)
by: Zheng, Chongyi, et al.
Published: (2023)
NextLocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs
by: Liu, Shuai, et al.
Published: (2024)
by: Liu, Shuai, et al.
Published: (2024)
Guided Star-Shaped Masked Diffusion
by: Meshchaninov, Viacheslav, et al.
Published: (2025)
by: Meshchaninov, Viacheslav, et al.
Published: (2025)
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
by: Maes, Lucas, et al.
Published: (2026)
by: Maes, Lucas, et al.
Published: (2026)
Improving GFlowNets with Monte Carlo Tree Search
by: Morozov, Nikita, et al.
Published: (2024)
by: Morozov, Nikita, et al.
Published: (2024)
What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
by: Terver, Basile, et al.
Published: (2025)
by: Terver, Basile, et al.
Published: (2025)
Performance Insights-based AI-driven Football Transfer Fee Prediction
by: Sulimov, Daniil
Published: (2024)
by: Sulimov, Daniil
Published: (2024)
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
by: Sun, Mengyang, et al.
Published: (2025)
by: Sun, Mengyang, et al.
Published: (2025)
Physics in Next-token Prediction
by: An, Hongjun, et al.
Published: (2024)
by: An, Hongjun, et al.
Published: (2024)
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
by: Yang, Qi, et al.
Published: (2025)
by: Yang, Qi, et al.
Published: (2025)
XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference
by: Vankov, Daniil, et al.
Published: (2026)
by: Vankov, Daniil, et al.
Published: (2026)
Debate Helps Weak Judges Reward Stronger Models
by: Elasky, Ethan, et al.
Published: (2026)
by: Elasky, Ethan, et al.
Published: (2026)
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
by: Rohekar, Raanan Y., et al.
Published: (2024)
by: Rohekar, Raanan Y., et al.
Published: (2024)
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
by: Kim, Eungyeup, et al.
Published: (2023)
by: Kim, Eungyeup, et al.
Published: (2023)
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
by: Karchmer, Ari
Published: (2024)
by: Karchmer, Ari
Published: (2024)
Stronger Enforcement of Instruction Hierarchy via Augmented Intermediate Representations
by: Kariyappa, Sanjay, et al.
Published: (2025)
by: Kariyappa, Sanjay, et al.
Published: (2025)
PriorZero: Bridging Language Priors and World Models for Decision Making
by: Xiong, Junyu, et al.
Published: (2026)
by: Xiong, Junyu, et al.
Published: (2026)
Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models
by: Proshian, Harry, et al.
Published: (2026)
by: Proshian, Harry, et al.
Published: (2026)
Learning Abstract World Model for Value-preserving Planning with Options
by: Rodriguez-Sanchez, Rafael, et al.
Published: (2024)
by: Rodriguez-Sanchez, Rafael, et al.
Published: (2024)
Similar Items
-
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success
by: Bredis, George, et al.
Published: (2025) -
Teach Old SAEs New Domain Tricks with Boosting
by: Koriagin, Nikita, et al.
Published: (2025) -
Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy
by: Balagansky, Nikita, et al.
Published: (2025) -
Trust-Region Behavior Blending for On-Policy Distillation
by: Plyusov, Daniil, et al.
Published: (2026) -
Steering LLM Reasoning Through Bias-Only Adaptation
by: Sinii, Viacheslav, et al.
Published: (2025)