Logit Pairing Methods Can Fool Gradient-Based Attacks. - Marius Mosbach; Maksym Andriushchenko; Thomas Alexander Trost; Matthias Hein 001; Dietrich Klakow (CoRR, 2018)

Some steps towards the generation of diachronic WordNets. - Yuri Bizzoni; Marius Mosbach; Dietrich Klakow; Stefania Degaetano-Ortlieb (NODALIDA, 2019)

incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages. - Marius Mosbach; Irina Stenger; Tania Avgustinova; Dietrich Klakow (RANLP, 2019)

Adversarial Initialization - when your network performs the way I want. - Kathrin Grosse; Thomas Alexander Trost; Marius Mosbach; Michael Backes 001; Dietrich Klakow (CoRR, 2019)

On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. - Marius Mosbach; Anna Khokhlova; Michael A. Hedderich; Dietrich Klakow (BlackboxNLP@EMNLP, 2020)

A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English. - Marius Mosbach; Stefania Degaetano-Ortlieb; Marie-Pauline Krielke; Badr M. Abdullah; Dietrich Klakow (COLING, 2020)

On the Security Relevance of Initial Weights in Deep Neural Networks. - Kathrin Grosse; Thomas Alexander Trost; Marius Mosbach; Michael Backes 001; Dietrich Klakow (ICANN (1), 2020)

Fusion Models for Improved Image Captioning. - Marimuthu Kalimuthu; Aditya Mogadala; Marius Mosbach; Dietrich Klakow (ICPR Workshops (6), 2020)

Sparse Graph to Sequence Learning for Vision Conditioned Long Textual Sequence Generation. - Aditya Mogadala; Marius Mosbach; Dietrich Klakow (CoRR, 2020)

Fusion Models for Improved Visual Captioning. - Marimuthu Kalimuthu; Aditya Mogadala; Marius Mosbach; Dietrich Klakow (CoRR, 2020)

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines. - Marius Mosbach; Maksym Andriushchenko; Dietrich Klakow (ICLR, 2021)

Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study. - Badr M. Abdullah; Marius Mosbach; Iuliia Zaitova; Bernd Möbius; Dietrich Klakow (Interspeech, 2021)

incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages. - Marius Mosbach; Irina Stenger; Tania Avgustinova; Bernd Möbius; Dietrich Klakow (RANLP, 2021)

Graph-based Argument Quality Assessment. - Ekaterina Saveleva; Volha Petukhova; Marius Mosbach; Dietrich Klakow (RANLP, 2021)

Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning. - Jesujoba O. Alabi; David Ifeoluwa Adelani; Marius Mosbach; Dietrich Klakow (COLING, 2022)

MCSE: Multimodal Contrastive Learning of Sentence Embeddings. - Miaoran Zhang; Marius Mosbach; David Ifeoluwa Adelani; Michael A. Hedderich; Dietrich Klakow (NAACL-HLT, 2022)

Artefact Retrieval: Overview of NLP Models with Knowledge Base Access. - Vilém Zouhar; Marius Mosbach; Debanjali Biswas; Dietrich Klakow (CoRR, 2022)

Knowledge Base Index Compression via Dimensionality and Precision Reduction. - Vilém Zouhar; Marius Mosbach; Miaoran Zhang; Dietrich Klakow (CoRR, 2022)

Multilingual Language Model Adaptive Fine-Tuning: A Study on African Languages. - Jesujoba O. Alabi; David Ifeoluwa Adelani; Marius Mosbach; Dietrich Klakow (CoRR, 2022)

StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes. - Awantee Deshpande; Dana Ruiter; Marius Mosbach; Dietrich Klakow (CoRR, 2022)

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Amir Feder; Abhilasha Ravichander; Marius Mosbach; Yonatan Belinkov; Hinrich Schütze; Yoav Goldberg (CoRR, 2022)

Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models. - Vilém Zouhar; Marius Mosbach; Dietrich Klakow (CoRR, 2022)

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. - Marius Mosbach; Tiago Pimentel; Shauli Ravfogel; Dietrich Klakow; Yanai Elazar (ACL (Findings), 2023)

Weaker Than You Think: A Critical Look at Weakly Supervised Learning. - Dawei Zhu; Xiaoyu Shen 001; Marius Mosbach; Andreas Stephan; Dietrich Klakow (ACL (1), 2023)

Weaker Than You Think: A Critical Look atWeakly Supervised Learning. - Dawei Zhu; Xiaoyu Shen 001; Marius Mosbach; Andreas Stephan; Dietrich Klakow (CoRR, 2023)

Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures. - Julius Steuer; Marius Mosbach; Dietrich Klakow (CoRR, 2023)

The Hidden Space of Transformer Language Adapters. - Jesujoba Alabi; Marius Mosbach; Matan Eyal; Dietrich Klakow; Mor Geva (ACL (1), 2024)

Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning. - Pin-Jie Lin; Miaoran Zhang; Marius Mosbach; Dietrich Klakow (ACL (Student Research Workshop), 2024)

The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis. - Miaoran Zhang; Vagrant Gautam; Mingyang Wang 003; Jesujoba Alabi; Xiaoyu Shen 001; Dietrich Klakow; Marius Mosbach (ACL (Findings), 2024)

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP. - Marius Mosbach; Vagrant Gautam; Tomás Vergara Browne; Dietrich Klakow; Mor Geva (EMNLP, 2024)

What explains the success of cross-modal fine-tuning with ORCA? - Paloma García-de-Herreros; Vagrant Gautam; Philipp Slusallek; Dietrich Klakow; Marius Mosbach (CoRR, 2024)

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. - Parishad BehnamGhader; Vaibhav Adlakha; Marius Mosbach; Dzmitry Bahdanau; Nicolas Chapados; Siva Reddy (CoRR, 2024)

Understanding the Influence of Synthetic Data for Text Embedders. - Jacob Mitchell Springer; Vaibhav Adlakha; Siva Reddy; Aditi Raghunathan; Marius Mosbach (ACL (Findings), 2025)

Not All Data Are Unlearned Equally. - Aravind Krishnan; Siva Reddy; Marius Mosbach (CoRR, 2025)

DeepSeek-R1 Thoughtology: Let's about LLM Reasoning. - Sara Vera Marjanovic; Arkil Patel; Vaibhav Adlakha; Milad Aghajohari; Parishad BehnamGhader; Mehar Bhatia; Aditi Khandelwal; Austin Kraft; Benno Krojer; Xing Han Lù; Nicholas Meade; Dongchan Shin; et al. (CoRR, 2025)

Build the web for agents, not agents for the web. - Xing Han Lù; Gaurav Kamath; Marius Mosbach; Siva Reddy (CoRR, 2025)