most citedPromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

51 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 2 cited

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets

Jinsheng Pan, Zichen Wang, Weihong Qi +2

Understanding the framing of political issues is of paramount importance as it significantly shapes how individuals perceive, interpret, and engage with these matters. While prior…

cs.CL2023★ 51 cited

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Kaijie Zhu, Jindong Wang, Jiaheng Zhou +8

The increasing reliance on Large Language Models (LLMs) across academia and industry necessitates a comprehensive understanding of their robustness to prompts. In response to this…

cs.LG2023★ 1 cited

Adversarial Attacks on Online Learning to Rank with Stochastic Click Models

Zichen Wang, Rishab Balasubramanian, Hui Yuan +3

We propose the first study of adversarial attacks on online learning to rank. The goal of the adversary is to misguide the online learning to rank algorithm to place the target ite…

cs.CL2023★ 2 cited

Computational Assessment of Hyperpartisanship in News Titles

Hanjia Lyu, Jinsheng Pan, Zichen Wang +1

We first adopt a human-guided machine learning framework to develop a new dataset for hyperpartisan news title detection with 2,200 manually labeled and 1.8 million machine-labeled…

stat.ML2022

Variational Causal Inference

Yulun Wu, Layne C. Price, Zichen Wang +3

Estimating an individual's potential outcomes under counterfactual treatments is a challenging task for traditional causal inference and supervised learning approaches when the out…