5 citations · 11 across the 5 of their papers we have counts for
6 papers
A Systematic Investigation of Bias in Large Language Models for Advertising Relevance
Weiwei Wang, Yinchuan Xu, Jialu Gao +2
Large language models (LLMs) are increasingly used to judge how well an advertisement matches a query, but the fairness of these judgments has received limited attention. We conduc…
AutoHint: Automatic Prompt Optimization with Hint Generation
Hong Sun, Xue Li, Yinchuan Xu +5
This paper presents AutoHint, a novel framework for automatic prompt engineering and optimization for Large Language Models (LLM). While LLMs have demonstrated remarkable ability i…
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Li Lyna Zhang, Youkow Homma, Yujing Wang +5
Ad relevance modeling plays a critical role in online advertising systems including Microsoft Bing. To leverage powerful transformers like BERT in this low-latency setting, many ex…
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow
Jeeyung Kim, Mengtian Jin, Youkow Homma +3
In modeling time series data, we often need to augment the existing data records to increase the modeling accuracy. In this work, we describe a number of techniques to extract dyna…
Counting Zeros of Harmonic Rational Functions and Its Application to Gravitational Lensing
Pavel M. Bleher, Youkow Homma, Lyndon L. Ji +1
General Relativity gives that finitely many point masses between an observer and a light source create many images of the light source. Positions of these images are solutions of $…
Nearest Neighbor Distances on a Circle: Multidimensional Case
Pavel M. Bleher, Youkow Homma, Lyndon L. Ji +2
We study the distances, called spacings, between pairs of neighboring energy levels for the quantum harmonic oscillator. Specifically, we consider all energy levels falling between…