Beyond State Consistency: Behavior Consistency in Text-Based World Models

arXiv:2604.13824 · cs.LG · Submitted 2026-04-15 · Read on arXiv

cs.LG

Submitted: 2026-04-15

Updated: 2026-09-02

Terminology

• Consistency — 59× in this paper · explained in 3 episodes
• World Model — 57× in this paper · explained in 7 episodes
• GRPO — 29× in this paper · explained in 6 episodes
• Calibration — 11× in this paper · explained in 7 episodes
• Drop Target — 11× in this paper
• Drop Irrelevant — 9× in this paper
• Consistency Ratio — 6× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Affordance — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fully Sharded Data Parallelism — 1× in this paper
• Group Relative Policy Optimization — 1× in this paper
• Model Drift — 1× in this paper · explained in 4 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Supervised Fine-Tuning — 1× in this paper
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes

Sources

• The Llama 3 Herd of Models
• Dream to Control: Learning Behaviors by Latent Imagination
• From Word to World: Can Large Language Models be Implicit Text-based World Models?
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• SteP: Stacked LLM Policies for Web Actions
• RLVR-World: Training World Models with Reinforcement Learning
• WebArena: A Realistic Web Environment for Building Autonomous Agents
• AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
• Qwen3 Technical Report
• Qwen2.5 Technical Report

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks