activity
20222024
most citedUnderstanding Interpersonal Conflict Types and their Impact on Perception Classification

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Do Multilingual Large Language Models Mitigate Stereotype Bias?

Shangrui Nie, Michael Fromm, Charles Welch +7

While preliminary findings indicate that multilingual LLMs exhibit reduced bias compared to monolingual ones, a comprehensive understanding of the effect of multilingual training o…

cs.CL2024

Corpus Considerations for Annotator Modeling and Scaling

Olufunke O. Sarumi, Béla Neuendorf, Joan Plepi +3

Recent trends in natural language processing research and annotation tasks affirm a paradigm shift from the traditional reliance on a single ground truth to a focus on individual p…

cs.CL2023

Style Locality for Controllable Generation with kNN Language Models

Gilles Nawezi, Lucie Flek, Charles Welch

Recent language models have been improved by the addition of external memory. Nearest neighbor language models retrieve similar contexts to assist in word prediction. The addition…

cs.CL2023

Challenges of GPT-3-based Conversational Agents for Healthcare

Fabian Lechner, Allison Lahnala, Charles Welch +1

The potential to provide patients with faster information access while allowing medical specialists to concentrate on critical tasks makes medical domain dialog agents appealing. H…

cs.CL20221 cited

Understanding Interpersonal Conflict Types and their Impact on Perception Classification

Charles Welch, Joan Plepi, Béla Neuendorf +1

Studies on interpersonal conflict have a long history and contain many suggestions for conflict typology. We use this as the basis of a novel annotation scheme and release a new da…