# When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability

**Published:** October 21, 2026
**Author:** Mayukh Debnath, Adeyinka Adedigba, Rammohan Mallipeddi
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/when-planning-problems-become-hard-for-llms-separating-structural-comple

arXiv:2610.26964v1 Announce Type: new Abstract: Large language models (LLMs) struggle with classical planning, but benchmarks rarely distinguish structural difficulty from the difficulty of interpreting symbolic vocabulary. We examine seven STRIPS domains with BFS-optimal plan…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.26964)

**Tags:** #arXiv

---

*AI Qazaqstan — non-commercial informational portal about AI in Kazakhstan. Machine translations and summaries are AI-generated.*