Stephanie Brandl
12 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (23)
π
Conference Polyglot
(6)
π
Academic Marathon
(5)
π
Renaissance Researcher
(5)
β‘
Prolific Year
(5)
π
Century Club
(11)
ποΈ
Keyword Collector
(61)
β
The Questioner
(2)
Conferences
ACL (3)
NAACL (3)
EMNLP (2)
AACL (1)
COLING (1)
EACL (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
text classification
(3)
multilingual nlp
(2)
language model
(2)
reading behavior
(2)
instruction tuning
(2)
eye tracking
(2)
attention visualization
(2)
attention mechanism
(2)
transformer attention
(2)
human-model alignment
(2)
model interpretability
(1)
cross-lingual nlp
(1)
relation extraction
(1)
fine-grained classification
(1)
pre-trained language model
(1)
explainable ai
(1)
bias mitigation
(1)
rationale extraction
(1)
temporal alignment
(1)
human attention
(1)
Papers
Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trumpβs Presidential Campaigns
EACL 2026
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations
COLING 2024
On the Interplay between Fairness and Explainability
NAACL 2024
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
NAACL 2024
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
EMNLP 2023
Rather a Nurse than a Physician - Contrastive Explanations under Investigation
EMNLP 2023
Every word counts: A multilingual analysis of individual human alignment with model attention
AACL 2022
Every word counts: A multilingual analysis of individual human alignment with model attention
IJCNLP 2022
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns
NAACL 2022
Challenges and Strategies in Cross-Cultural NLP
ACL 2022
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
ACL 2022
Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings
ACL 2019