AAAI 2026technical0 citations
Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services
Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin
Abstract
Conventional fairness in multi-tenant Large Language Model (LLM) inference services is typically defined by system-centric metrics such as equitable resource allocation. We argue that this is unilateral and it creates a gap between measured system performance and actual user-perceived quality. We challenge this notion by introducing and formalizing Experiential Fairness, a user-centric paradigm that shifts the objective from equality of opportunity (resource access) to equity of outcome (user experience). With this motivation we propose ExFairS, a lightweight scheduling framework that perceives each user
BibTeX
@inproceedings{aaai2026_experientialfair,
title = {Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services},
author = {Jiahua Huang and Wentai Wu and Yongheng Liu and Guozhi Liu and Yang Wang and Weiwei Lin},
booktitle = {AAAI 2026},
year = {2026}
}