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#artificial intelligence Preprint Oct 2026

Plan-and-Patch: Diffusion Language Models for Agentic Planning

Planning is increasingly important for long-horizon agents, where successful execution requires coordinating subgoals, tool use, and intermediate outcomes over many steps. Yet assumptions made during planning may be invalidated by the environment, tools may return unexpected results, or actions may fail. Effective agen...

Syamantak Kumar, Jiang Guo, Hassan Hamad et al. · 0 citations
#natural language process... Preprint Aug 2026

Relational Priors as Convergence Pressure in LLM-Based Multi-Agent Systems

It is argued that relational priors should not be a default add-on for LLM-MAS and their safer use is diagnostic and task-specific: compare against a no-prior baseline, monitor correctness-conditioned metrics when truth matters, and omit the relational layer when validation does not justify it.

Ming Shen, Chao Shang, Sadat Shahriar et al. · 0 citations

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