Marius Mosbach
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning, Advanced Text Analysis Techniques
Most-Cited Works
- → On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines(2020)211 cited
- → Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation(2023)60 cited
- → Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning(2022)51 cited
- → Logit Pairing Methods Can Fool Gradient-Based Attacks(2018)46 cited
- → MCSE: Multimodal Contrastive Learning of Sentence Embeddings(2022)21 cited
- → LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders(2024)20 cited
- → On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers(2020)17 cited
- → Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing(2020)16 cited
- → Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions(2022)16 cited