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cs.AI2026
When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL
Yijiashun Qi, Xiang Xu, Yuxuan Li
We report a reproducible error pattern in GPT-5.4 on OWL~2~DL compliance queries: the model frequently answers ``unknown'' when the reasoner-entailed answer is ``no'' under \emph{F…
cs.AI2025
Beyond Benchmarks: The Economics of AI Inference
Boqin Zhuang, Jiacheng Qiao, Mingqian Liu +8
The inference cost of Large Language Models (LLMs) has become a critical factor in determining their commercial viability and widespread adoption. This paper introduces a quantitat…