Research map / Large language models / Retrieval and knowledge
LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Agentic AI for Digital Twin (AAAI 2025 · similarity 0.83)
- SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search (AAAI 2026 · similarity 0.82)
- Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts (AAAI 2025 · similarity 0.82)
- LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language (NeurIPS 2025 · similarity 0.81)
- Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks (ICML 2024 · similarity 0.81)
- LLMs Can Plan Only If We Tell Them (ICLR 2025 · similarity 0.80)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.