4 papers
Farewell to Item IDs: Unlocking the Scaling Potential of Large Ranking Models via Semantic Tokens
Zhen Zhao, Tong Zhang, Jie Xu +5
Recent studies on scaling up ranking models have achieved substantial improvement for recommendation systems and search engines. However, most large-scale ranking systems rely on i…
Toward a unified framework for data-efficient evaluation of large language models
Lele Liao, Qile Zhang, Ruofan Wu +1
Evaluating large language models (LLMs) on comprehensive benchmarks is a cornerstone of their development, yet it's often computationally and financially prohibitive. While Item Re…
Examining the Dynamics of Local and Transfer Passenger Share Patterns in Air Transportation
Xufang Zheng, Qilei Zhang, Victoria Cobb +1
The air transportation local share, defined as the proportion of local passengers relative to total passengers, serves as a critical metric reflecting how economic growth, carrier…
An Exploratory Assessment of LLM's Potential Toward Flight Trajectory Reconstruction Analysis
Qilei Zhang, John H. Mott
Large Language Models (LLMs) hold transformative potential in aviation, particularly in reconstructing flight trajectories. This paper investigates this potential, grounded in the…