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Author

Ziliang Chen

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#artificial intelligence Preprint Sep 2026

Construting Reverse Thinking: Developing Large Language Models'Reverse Thingking Ability

When facing complex problems, humans tend to try various ideas for different issues. Human thinking patterns exhibit remarkable flexibility in adapting to diverse scenarios. GPT-o1, GPT-o3, and DeepSeek-R1 adopt long chain-of-thought models to address complex problems by increasing reasoning depth, which default to a f...

Xin Liu, Yun-Hai Li, Chun-Fu Jia et al. · 0 citations
#artificial intelligence Conference Open access Mar 2024

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System

The filter bubble is a notorious issue in Recommender Systems (RSs), which describes the phenomenon whereby users are exposed to a limited and narrow range of information or content that reinforces their existing dominant preferences and beliefs. This results in a lack of exposure to diverse and varied content. Many ex...

Yongsen Zheng, Ziliang Chen, Jinghui Qin et al. · 10 citations · ⚡1

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