FRAMe combines an LLM planner with RAG-based memory and a multi-modal coach agent to generate valid, preference-aligned eVTOL flight plans, achieving up to 93.8% validity across four LLMs.
LLM -A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
2 Pith papers cite this work, alongside 25 external citations. Polarity classification is still indexing.
2
Pith papers citing it
25
external citations · OpenAlex
years
2026 2verdicts
CONDITIONAL 2representative citing papers
A three-agent mobile system for end-to-end walking support shows motivational companion dialogue boosts affect and UX in a 12-person in-the-wild crossover study.
citing papers explorer
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End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent
FRAMe combines an LLM planner with RAG-based memory and a multi-modal coach agent to generate valid, preference-aligned eVTOL flight plans, achieving up to 93.8% validity across four LLMs.
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SmartWalkCoach: An AI Companion for End-to-End Walking Guidance, Motivation, and Reflection
A three-agent mobile system for end-to-end walking support shows motivational companion dialogue boosts affect and UX in a 12-person in-the-wild crossover study.