#latent-world-models News & Analysis

2 articles tagged with #latent-world-models. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 296/10

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Thoughts-as-Planning: Latent World Models for Chain-of-Thoughts Optimization via Reinforcement Planning

Researchers introduce Thoughts-as-Planning, a novel framework that optimizes reasoning chains in large language models by modeling them as sequential decision-making processes over a latent semantic space. The method uses learned world models to simulate how edits to reasoning chains affect outputs, enabling efficient planning through gradient descent or reinforcement learning while supporting multi-scale abstraction across token, segment, and instruction levels.

AINeutralarXiv – CS AI · May 116/10

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Predictive but Not Plannable: RC-aux for Latent World Models

Researchers present RC-aux, a lightweight auxiliary objective that improves latent world models for planning by addressing the spatiotemporal mismatch between short-horizon prediction training and long-horizon planning deployment. The method adds multi-horizon prediction and budget-conditioned reachability supervision to align learned representations with planning requirements, demonstrating improvements on goal-conditioned control tasks.