output
20022026
most citedDeep Isolation Forest for Anomaly Detection

541 citations

Showing cs.AIShow all

18 papers · 1 filter

cs.AI2025★ 7 cited

Understanding Critical Thinking in Generative Artificial Intelligence Use: Development, Validation, and Correlates of the Critical Thinking in AI Use Scale

Gabriel R. Lau, Wei Yan Low, Louis Tay +3

Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI o…

cs.AI2025

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents

Haoyu Wang, Christopher M. Poskitt, Jun Sun

Agents built on LLMs are increasingly deployed across diverse domains, automating complex decision-making and task execution. However, their autonomy introduces safety risks, inclu…

cs.AI2024

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning

Jianming Chen, Yawen Wang, Junjie Wang +4

Explaining multi-agent systems (MAS) is urgent as these systems become increasingly prevalent in various applications. Previous work has proveided explanations for the actions or s…

cs.AI2024★ 1 cited

Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment

Yibo Li, Yuan Fang, Mengmei Zhang +1

Understanding molecular structure and related knowledge is crucial for scientific research. Recent studies integrate molecular graphs with their textual descriptions to enhance mol…

cs.AI2023★ 48 cited

Neural Airport Ground Handling

Yaoxin Wu, Jianan Zhou, Yunwen Xia +3

Airport ground handling (AGH) offers necessary operations to flights during their turnarounds and is of great importance to the efficiency of airport management and the economics o…

cs.AI2023★ 61 cited

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling

Jianan Zhou, Yaoxin Wu, Zhiguang Cao +3

Dispatching vehicle fleets to serve flights is a key task in airport ground handling (AGH). Due to the notable growth of flights, it is challenging to simultaneously schedule multi…