💡 LLM Reasoning

🎞️ ECCV2024 · 1 paper notes

📌 Same area in other venues: 📷 CVPR2026 (16) · 🔬 ICLR2026 (241) · 💬 ACL2026 (82) · 🧪 ICML2026 (78) · 🤖 AAAI2026 (37) · 🧠 NeurIPS2025 (82)

Controllable Navigation Instruction Generation with Chain of Thought Prompting

This paper proposes C-Instructor, which leverages chain-of-thought prompting of LLMs to achieve style- and content-controllable navigation instruction generation. Through three core mechanisms—Chain of Thought with Landmarks (CoTL), Spatial Topology Modeling Task (STMT), and Style-Mixed Training (SMT)—the method comprehensively outperforms existing approaches on four indoor and outdoor navigation datasets.