9 citations · 10 across the 8 of their papers we have counts for
4 papers · 1 filter
Location, Location, Generation: Where You Ask Matters for Generative Engine Optimization
Mahe Chen, Nick Koudas
Generative search engines answer local and commercial questions with a written answer and a few cited sources. A growing practice of generative engine optimization (GEO) monitors w…
Photometric Identification and Dynamical Purification of Blue Horizontal Branch Stars in DESI MWS DR1
Shuai Zhang, Xiaolong Wang, Kai Xiao +5
Blue horizontal-branch (BHB) stars are ideal tracers for mapping the structure of the Galactic stellar halo. However, traditional spectroscopic identification is limited by data qu…
Can we trust LLM Self-Explanations for Entity Resolution?
Tommaso Teofili, Donatella Firmani, Nick Koudas +2
Large Language Models (LLMs) have recently shown strong performance on Entity Resolution (ER). Additionally, akin to their prowess in providing accurate predictions, these models o…
Navigating the Shift: A Comparative Analysis of Web Search and Generative AI Response Generation
Mahe Chen, Xiaoxuan Wang, Kaiwen Chen +1
The rise of generative AI as a primary information source presents a paradigm shift from traditional web search. This paper presents a large-scale empirical study quantifying the f…