chain-of-thought reasoning 1error correction 1human-ai interaction 1large language models 1prompt engineering 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.AI2026
Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models
Hefeng Zhou, Jinxuan Zhang, Jiong Lou +4
The paper introduces Deep Interaction, a method that lets users directly edit the chain‑of‑thought output of large language models to fix reasoning errors, resulting in higher corr…
cs.CY2025
AgentTutor: Empowering Personalized Learning with Multi-Turn Interactive Teaching in Intelligent Education Systems
Yuxin Liu, Zeqing Song, Jiong Lou +2
The rapid advancement of large-scale language models (LLMs) has shown their potential to transform intelligent education systems (IESs) through automated teaching and learning supp…