Search Results for author:
Found 7 papers, 2 papers with code
Evaluating the Quality of Answers in Political Q&A Sessions with Large Language Models
This paper presents a new approach to evaluating the quality of answers in political question-and-answer sessions.
BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models
We thus enable seamless open-ended social bias testing of PLMs by domain experts through an automatic large-scale generation of diverse test sentences for any combination of social categories and attributes.
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions
Finally, we find that not all transfer scenarios yield a positive gain, which seems related to the PLMs initial performance on the target-domain task.
Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election
Analysis of candidate choice in the 2020 Presidential Election is one area in which this issue presents itself: in order to test the many theories explaining the outcome of the election, it is necessary to use data such as the 2020 Cooperative Election Study Common Content, with hundreds of highly correlated features.
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
However, collecting social media data using a static set of keywords fails to satisfy the growing need to monitor dynamic conversations and to study fast-changing topics.
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features
This paper proposes FREEtree, a tree-based method for high dimensional longitudinal data with correlated features.
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates
Online harassment is a significant social problem.
