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September 17, 2025Proceedings of the International Conference on Automated Planning and SchedulingOpen Access

Revisiting LLMs in Planning from Literature Review: a Semi-Automated Analysis Approach and Evolving Categories Representing Shifting Perspectives

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Authors

VPVishal PallaganiNGNitin GuptaBMBharath Muppasani

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Overview

Literature review reveals category drift in LLMs within planning research, highlighting evolving perspectives.

Key Points

  • The analysis shows a shift in research themes for LLMs in planning, with six categories declining and two emerging.
  • Out of 126 reviewed papers, 47 new papers were categorized between November 2023 and September 2024, highlighting evolving trends.
  • An automated system was developed for the continuous categorization and trend tracking of LLM-related research advancements.
  • This platform aims to foster innovation in automated paper categorization and improve the understanding of thematic changes.

Cite This Study

Pallagani et al. (2025) studied this question.

synapsesocial.com/papers/68d4566c31b076d99fa5bae3https://doi.org/10.1609/icaps.v35i1.36141
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)2024 · 43 citations
  2. 2Exploring LLM Research Trends and Insights for Enhanced Accessibility2024
  3. 3On Planning Through LLMs2025 · 1 citations
  4. 4Large Language Models for Planning: A Comprehensive and Systematic Survey2025 · 2 citations
  5. 5A Comprehensive Analysis of Survey Papers on Large Language Models2024