Jianfeng Peng

Papers

Total Citations

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About

Jianfeng Peng is a researcher in natural language processing, with a focus on dialogue generation and question-answering systems. His work explores innovative approaches to making conversational AI more interactive and proactive, moving beyond passive responses. His most cited paper, "Question generation based on chat‐response conversion" (2019, 4 citations), addresses a key limitation in chatbot design: the tendency to merely assent or answer. By proposing a method to convert chat responses into meaningful questions, Peng contributes to the development of more engaging and dynamic dialogue systems. This research aligns with broader efforts to enhance human-computer interaction, where generating contextually relevant questions can drive deeper conversations. While his citation count is modest, his work reflects a thoughtful contribution to the evolution of natural language generation, particularly in making AI more conversational and less robotic. Peng’s research is valuable for students and researchers interested in the intersection of sequence-to-sequence models, dialogue generation, and proactive AI behavior, offering a practical step toward more natural and interactive chatbots.