2 citations · 4 across the 7 of their papers we have counts for
7 papers
Benchmarking Political Persuasion Risks Across Frontier Large Language Models
Zhongren Chen, Joshua Kalla, Quan Le
Concerns persist regarding the capacity of Large Language Models (LLMs) to sway political views. Although prior research has claimed that LLMs are not more persuasive than standard…
Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models
Sasha Cui, Zhongren Chen
Language models (LMs) are typically post-trained for desired capabilities and behaviors via weight-based or prompt-based steering, but the former is time-consuming and expensive, a…
Quantile-Optimal Policy Learning under Unmeasured Confounding
Zhongren Chen, Siyu Chen, Zhengling Qi +2
We study quantile-optimal policy learning where the goal is to find a policy whose reward distribution has the largest -quantile for some . We focus on the offline…
Generalizing causal effects with noncompliance: Application to deep canvassing experiments
Zhongren Chen, Melody Huang
Standard approaches in generalizability often focus on generalizing the intent-to-treat (ITT). However, in practice, a more policy-relevant quantity is the generalized impact of an…
A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies
Zhongren Chen, Joshua Kalla, Quan Le +3
In recent years, significant concern has emerged regarding the potential threat that Large Language Models (LLMs) pose to democratic societies through their persuasive capabilities…
CausalEGM: a general causal inference framework by encoding generative modeling
Qiao Liu, Zhongren Chen, Wing Hung Wong
Although understanding and characterizing causal effects have become essential in observational studies, it is challenging when the confounders are high-dimensional. In this articl…
Subgraph Frequency Distribution Estimation using Graph Neural Networks
Zhongren Chen, Xinyue Xu, Shengyi Jiang +2
Small subgraphs (graphlets) are important features to describe fundamental units of a large network. The calculation of the subgraph frequency distributions has a wide application…