Lerman, Kristina

9 publications

ICLRW 2024 How Susceptible Are Large Language Models to Ideological Manipulation? Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman

ICML 2019 MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan

AAAI 2018 DarkEmbed: Exploit Prediction with Neural Language Models Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman

IJCAI 2017 Deep Context: A Neural Language Model for Large-Scale Networked Documents Hao Wu, Kristina Lerman

AAAI 2013 LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media Jeon-Hyung Kang, Kristina Lerman

AAAI 2011 Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation Aman Goel, Craig A. Knoblock, Kristina Lerman

AAAI 2006 Automatically Labeling the Inputs and Outputs of Web Services Kristina Lerman, Anon Plangprasopchok, Craig A. Knoblock

JAIR 2003 Wrapper Maintenance: A Machine Learning Approach Kristina Lerman, Steven Minton, Craig A. Knoblock

AAAI 2000 Learning the Common Structure of Data Kristina Lerman, Steven Minton