Dietrich Klakow
language models
generalization
machine reading comprehension
noisy labels
fair evaluation
mdl
adaptation
data augmentation
fine-tuning
weak supervision
in-context learning
extractive question answering
crf
pre-trained language models
interpretability
16
presentations
7
number of views
Presentations
What Are the Rules? Discovering Constraints from Data
Boris Wiegand and 2 other authors
A Lightweight Method to Generate Unanswerable Questions in English
Vagrant Gautam and 2 other authors
The Hidden Space of Transformer Adapters
Jesujoba Alabi and 4 other authors
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns
Michael A. Hedderich and 3 other authors
A Lightweight Method to Generate Unanswerable Questions in English
Vagrant Gautam and 2 other authors
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Marius Mosbach and 4 other authors
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Marius Mosbach and 4 other authors
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages
David Ifeoluwa Adelani and 15 other authors
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
Dawei Zhu and 4 other authors
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
David Ifeoluwa Adelani and 9 other authors
Analyzing the Representational Geometry of Acoustic Word Embeddings
Badr Abdullah and 1 other author
Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
Vanessa Hahn and 3 other authors
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich and 4 other authors