Marius Mosbach
22 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
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Conference Polyglot
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Conferences
ACL (8)
EMNLP (5)
COLING (3)
NAACL (3)
CONLL (1)
ICLR (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
linguistic knowledge
(3)
large language model
(3)
masked language model
(2)
model generalization
(2)
in-context learning
(2)
multilingual nlp
(2)
sentence-level probing
(2)
contextualized embedding
(2)
few-shot learning
(2)
transfer learning
(1)
interactive learning
(1)
representation learning
(1)
language model adaptation
(1)
cross-lingual transfer
(1)
weakly supervised learning
(1)
sentiment classification
(1)
natural language processing
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multimodal learning
(1)
principal component analysis
(1)
named entity recognition
(1)
Papers
Understanding the Influence of Synthetic Data for Text Embedders
ACL 2025
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
EMNLP 2024
Modeling Diachronic Change in English Scientific Writing over 300+ Years with Transformer-based Language Model Surprisal
COLING 2024
The Hidden Space of Transformer Language Adapters
ACL 2024
What explains the success of cross-modal fine-tuning with ORCA?
NAACL 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
ACL 2024
An Interactive Toolkit for Approachable NLP
ACL 2024
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning
ACL 2024
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures
CONLL 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
ACL 2023
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
ACL 2023
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures
EMNLP 2023
Analyzing Pre-trained and Fine-tuned Language Models
EMNLP 2023
MCSE: Multimodal Contrastive Learning of Sentence Embeddings
NAACL 2022
Knowledge Base Index Compression via Dimensionality and Precision Reduction
ACL 2022
StereoKG: Data-Driven Knowledge Graph Construction For Cultural Knowledge and Stereotypes
NAACL 2022
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
COLING 2022
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
ICLR 2021
Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study
INTERSPEECH 2021
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
EMNLP 2020
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English
COLING 2020
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers
EMNLP 2020