16 citations · 22 across the 6 of their papers we have counts for
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cs.AI2026
Knowledge Boundary Discovery for Large Language Models
Ziquan Wang, Zhongqi Lu
We propose Knowledge Boundary Discovery (KBD), a reinforcement learning based framework to explore the knowledge boundaries of the Large Language Models (LLMs). We define the knowl…
cs.AI2016★ 16 cited
Partially Observable Markov Decision Process for Recommender Systems
Zhongqi Lu, Qiang Yang
We report the "Recurrent Deterioration" (RD) phenomenon observed in online recommender systems. The RD phenomenon is reflected by the trend of performance degradation when the reco…