Question Asking with LLMs
Evaluating Question Asking Ability with LLMs
KOALA: Knowledge Conflict Augmentations for Robustness in Vision Language Models
Peter Carragher, Nikitha Rao, Abhinand Jha, R Raghav, Kathleen M. Carley
Under review. 2025.
preprint
pdf . code . data
Quantifying Memorization and Retriever Performance in Retrieval-Augmented Vision-Language Models
Peter Carragher, Abhinand Jha, R Raghav, Kathleen M. Carley
Under review. 2025.
preprint
pdf
Bridging Social Media and Search Engines: Dredge Words and the Detection of Unreliable Domains
Evan M. Williams, Peter Carragher, Kathleen M. Carley
Under review. 2024.
preprint
pdf
Detection and Discovery of Misinformation Sources using Attributed Webgraphs
Peter Carragher, Evan M. Williams, Kathleen M. Carley
ICWSM 2024: The 18th International AAAI Conference on Web and Social Media. 2024.
conference paper
pdf . code . data . slides
Misinformation Resilient Search Rankings with Webgraph-based Interventions
Peter Carragher, Evan M. Williams, Kathleen M. Carley
ACM Transactions on Intelligent Systems and Technology: Special Issue on Responsible Recommender Systems. 2024.
journal article
pdf . code . data . slides
Accountability in Search Engine Manipulation: A Case Study of the Iranian News Ecosystem
Peter Carragher, Kathleen M. Carley
SBP-BRiMS 2024: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation. 2024.
conference paper
pdf . code . data . slides
Simulation of Stance Perturbation
Peter Carragher, Lynnette Xian Ng, Kathleen M. Carley
SBP-BRiMS 2023: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation. 2023.
conference paper
pdf . code . slides
Simulation of Stance Perturbation
Peter Carragher, Lynnette Xian Ng, Kathleen M. Carley
WSC 2022: Proceedings of the 2022 Winter Simulation Conference. 2022.
abstract
Evaluating Question Asking Ability with LLMs
Getting GPT to chat with you about the content you watch, and provoke curiousity to dig deeper.
A visual learning aid for experimenting with diffusion models and network configurations.