Search Results for author: Shiyang Lai

Found 6 papers, 3 papers with code

Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters

1 code implementation31 Oct 2024 Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song

Through a voting simulation, we first demonstrate 18 open- and closed-weight LLMs' political preference for a Democratic nominee over a Republican nominee.

Persuasiveness

Can Editing LLMs Inject Harm?

1 code implementation29 Jul 2024 Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

Then, we find that editing attacks can inject both types of misinformation into LLMs, and the effectiveness is particularly high for commonsense misinformation injection.

Fairness General Knowledge +4

Can Large Language Model Agents Simulate Human Trust Behavior?

1 code implementation7 Feb 2024 Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li

In this paper, we focus on one critical and elemental behavior in human interactions, trust, and investigate whether LLM agents can simulate human trust behavior.

Language Modeling Language Modelling +1

Multidimensional Service Quality Scoring System

no code implementations9 Dec 2022 Shiyang Lai

This supplementary paper aims to introduce the Multidimensional Service Quality Scoring System (MSQs), a review-based method for quantifying host service quality mentioned and employed in the paper Exit and transition: Exploring the survival status of Airbnb listings in a time of professionalization.

Using detrended deconvolution foreign exchange network to identify currency status

no code implementations8 Aug 2020 Pengfei Xi, Shiyang Lai, Xueying Wang, Weiqiang Huang

This article proposed a hybrid detrended deconvolution foreign exchange network construction method (DDFEN), which combined the detrended cross-correlation analysis coefficient (DCCC) and the network deconvolution method together.

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