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About this paper
Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li and 14 more
The survey organizes interactive natural language processing as language models exchanging information with people, knowledge bases, tools, other models, or environments. It classifies four interaction-object categories, five communication interfaces, and methods including prompting, fine-tuning, and reinforcement learning. The authors present this framework to map the field, not as experimental evidence that interaction improves performance; evaluation remains underdeveloped.
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