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Kuicai Dong

2 papers indexed

openalexCityU Scholars2026-08-01

Exploring Recommender System Evaluation:A Multi-Modal LLM Agent Framework for A/B Testing

Wenlin Zhang, X J Li, Qiyuan Ge, Kuicai Dong, Pengyue; id_orcid 0000-0003-4712-3676 Jia, X J Li, et al.

diningIn recommender systems, online A/B testing is a crucial method for evaluating the performance of different models. However, conducting online A/B testing often presents significant challenges, including substantial economic costs, user experience degradation, and considerab…

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arxivcs.AI2026-07-22

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization

Xinbang Dai, Zheyu Xin, Huikang Hu, Lin Ren, Rihui Jin, Guohui Xiao, et al.

Large Reasoning Models (LRMs) often suffer from overthinking due to redundant verification steps. Existing approaches for mitigating overthinking, such as fast-slow thinking switching and reasoning trajectory compression, fail to make a fine-grained distinction between beneficial…

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