6 citations · 8 across the 5 of their papers we have counts for
5 papers
Quantifying Divergence for Human-AI Collaboration and Cognitive Trust
Müge Kural, Ali Gebeşçe, Tilek Chubakov +1
Predicting the collaboration likelihood and measuring cognitive trust to AI systems is more important than ever. To do that, previous research mostly focus solely on the model feat…
GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
Atakan Kara, Farrin Marouf Sofian, Andrew Bond +1
Grammatical Error Detection and Correction (GEC) tools have proven useful for native speakers and second language learners. Developing such tools requires a large amount of paralle…
Metric-Based In-context Learning: A Case Study in Text Simplification
Subha Vadlamannati, Gözde Gül Şahin
In-context learning (ICL) for large language models has proven to be a powerful approach for many natural language processing tasks. However, determining the best method to select…
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge, Yuecheng Li, Di Wu +12
In Lifelong Learning (LL), agents continually learn as they encounter new conditions and tasks. Most current LL is limited to a single agent that learns tasks sequentially. Dedicat…
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…