69 citations · 128 across the 15 of their papers we have counts for
7 papers · 1 filter
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning
Sullam Jeoung, Jana Diesner, Halil Kilicoglu
As language models continue to be integrated into applications of personal and societal relevance, ensuring these models' trustworthiness is crucial, particularly with respect to p…
PyTAIL: Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data
Shubhanshu Mishra, Jana Diesner
Online data streams make training machine learning models hard because of distribution shift and new patterns emerging over time. For natural language processing (NLP) tasks that u…
What Changed? Investigating Debiasing Methods using Causal Mediation Analysis
Sullam Jeoung, Jana Diesner
Previous work has examined how debiasing language models affect downstream tasks, specifically, how debiasing techniques influence task performance and whether debiased models also…
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys
Yubin Ge, Ziang Xiao, Jana Diesner +3
Generating follow-up questions on the fly could significantly improve conversational survey quality and user experiences by enabling a more dynamic and personalized survey structur…
An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events
M. Janina Sarol, Ly Dinh, Rezvaneh Rezapour +3
In times of crisis, identifying the essential needs is a crucial step to providing appropriate resources and services to affected entities. Social media platforms such as Twitter c…
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning
Ming Jiang, Junjie Hu, Qiuyuan Huang +3
Popular metrics used for evaluating image captioning systems, such as BLEU and CIDEr, provide a single score to gauge the system's overall effectiveness. This score is often not in…
TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Ming Jiang, Qiuyuan Huang, Lei Zhang +5
This paper presents a new metric called TIGEr for the automatic evaluation of image captioning systems. Popular metrics, such as BLEU and CIDEr, are based solely on text matching b…