4 papers · 1 filter
When Attention Goes Blind: Numerical Failure in ALiBi Positional Encodings
Christopher Schröder, Christopher Schröder, Lukas Gienapp +3
We identify a previously overlooked failure mode of ALiBi positional encoding: its linear bias scaling underflows floating-point precision, which zeroes out a large fraction of att…
Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
Julia Romberg, Christopher Schröder, Julius Gonsior +2
Supervised learning relies on data annotation which usually is time-consuming and therefore expensive. A longstanding strategy to reduce annotation costs is active learning, an ite…
The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models
Lukas Gienapp, Christopher Schröder, Stefan Schweter +5
Large language model development relies on large-scale training corpora, yet most contain data of unclear licensing status, limiting the development of truly open models. This prob…
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder, Gerhard Heyer
Active learning is an iterative labeling process that is used to obtain a small labeled subset, despite the absence of labeled data, thereby enabling to train a model for supervise…