Tag: AI planning
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Latent Planning in Large Language Models Scales Up
Explore how latent planning abilities improve as large language models grow, enhancing their task handling and contextual coherence.
How Multi-Token Prediction Boosts Transformer Planning
Discover how multi-token prediction enhances Transformer models' reasoning and planning abilities, outperforming traditional next-token methods.
Can LLMs Model Spatial Worlds? Maze Task Insights
Explore how large language models perform spatial reasoning in grid-world maze tasks, revealing limits in their spatial world modeling abilities.
EgoTSR: Advancing Ego-Centric Spatiotemporal AI Reasoning
Discover EgoTSR, a curriculum learning framework boosting ego-centric spatiotemporal reasoning for AI with 92.4% accuracy in long-horizon tasks.
OOWM: Advanced Object-Oriented Embodied Reasoning in AI
Discover OOWM, an object-oriented framework enhancing embodied reasoning and planning in AI with superior structure and execution success.