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#llm-planning News & Analysis

2 articles tagged with #llm-planning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv โ€“ CS AI ยท 5d ago7/10
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Latent Planning Emerges with Scale

Researchers demonstrate that large language models develop internal planning representations that scale with model size, enabling them to implicitly plan future outputs without explicit verbalization. The study on Qwen-3 models (0.6B-14B parameters) reveals mechanistic evidence of latent planning through neural features that predict and shape token generation, with planning capabilities increasing consistently across model scales.

AINeutralarXiv โ€“ CS AI ยท Mar 47/103
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Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

New research provides theoretical analysis of reinforcement learning's impact on Large Language Model planning capabilities, revealing that RL improves generalization through exploration while supervised fine-tuning may create spurious solutions. The study shows Q-learning maintains output diversity better than policy gradient methods, with findings validated on real-world planning benchmarks.