2 citations · 3 across the 8 of their papers we have counts for
8 papers
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…
Pitfalls of Conversational LLMs on News Debiasing
Ipek Baris Schlicht, Defne Altiok, Maryanne Taouk +1
This paper addresses debiasing in news editing and evaluates the effectiveness of conversational Large Language Models in this task. We designed an evaluation checklist tailored to…
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…
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…
OpinionConv: Conversational Product Search with Grounded Opinions
Vahid Sadiri Javadi, Martin Potthast, Lucie Flek
When searching for products, the opinions of others play an important role in making informed decisions. Subjective experiences about a product can be a valuable source of informat…
CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification
Akbar Karimi, Lucie Flek
The class imbalance problem can cause machine learning models to produce an undesirable performance on the minority class as well as the whole dataset. Using data augmentation tech…