10 citations · 12 across the 7 of their papers we have counts for
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cs.AI2026
CQ4OE: A benchmark for assessing LLM-assisted ontology generation from competency questions
Jiayi Li, Ziyuan Wang, Daniel Garijo +1
Ontology generation from Competency Questions (CQs) is a central yet labor-intensive phase of Ontology Engineering. While large language models (LLMs) offer promising automation ca…
cs.LG2026
Safe responses matter: Output-aware safety guardrail mitigate over-refusal in MLLMs
Jiayi Li, Kun Zhan
Existing safety mechanisms for multimodal large language models (MLLMs) face a fundamental trade-off between safety and utility. Model fine-tuning achieves robust safety but compro…
cs.CL2026★ 1 cited
MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
MiniCPM Team, Wenhao An, Yingfa Chen +44
The evolution of large language models (LLMs) towards applications with ultra-long contexts faces challenges posed by the high computational and memory costs of the Transformer arc…