1 citations · 1 across the 4 of their papers we have counts for
4 papers
Learning to Predict Usage Options of Product Reviews with LLM-Generated Labels
Leo Kohlenberg, Leonard Horns, Frederic Sadrieh +7
Annotating large datasets can be challenging. However, crowd-sourcing is often expensive and can lack quality, especially for non-trivial tasks. We propose a method of using LLMs a…
CommitBench: A Benchmark for Commit Message Generation
Maximilian Schall, Tamara Czinczoll, Gerard de Melo
Writing commit messages is a tedious daily task for many software developers, and often remains neglected. Automating this task has the potential to save time while ensuring that m…
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents
Tamara Czinczoll, Christoph Hönes, Maximilian Schall +1
While (large) language models have significantly improved over the last years, they still struggle to sensibly process long sequences found, e.g., in books, due to the quadratic sc…
Scientific and Creative Analogies in Pretrained Language Models
Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra +1
This paper examines the encoding of analogy in large-scale pretrained language models, such as BERT and GPT-2. Existing analogy datasets typically focus on a limited set of analogi…