25 citations · 67 across the 43 of their papers we have counts for
4 papers · 1 filter
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin
Automatic evaluation of generated textual content presents an ongoing challenge within the field of NLP. Given the impressive capabilities of modern language models (LMs) across di…
Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?
Dominic Petrak, Nafise Sadat Moosavi, Ye Tian +2
Learning from free-text human feedback is essential for dialog systems, but annotated data is scarce and usually covers only a small fraction of error types known in conversational…
FERMAT: An Alternative to Accuracy for Numerical Reasoning
Jasivan Alex Sivakumar, Nafise Sadat Moosavi
While pre-trained language models achieve impressive performance on various NLP benchmarks, they still struggle with tasks that require numerical reasoning. Recent advances in impr…
Lessons Learned from a Citizen Science Project for Natural Language Processing
Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe +6
Many Natural Language Processing (NLP) systems use annotated corpora for training and evaluation. However, labeled data is often costly to obtain and scaling annotation projects is…