| 2026 | ACL | MONETA: Multimodal Industry Classification through Geographic Information with Multi Agent Systems. | Arda Yksel, Gabriel Thiem, Susanne Walter, Patrick Felka, Gabriela Alves Werb, Ivan Habernal |
| 2025 | NAACL | The Impact of Inference Acceleration on Bias of LLMs. | Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar |
| 2025 | NAACL | Private Synthetic Text Generation with Diffusion Models. | Sebastian Ochs, Ivan Habernal |
| 2024 | COLING | To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems? | Christopher Weiss, Frauke Kreuter, Ivan Habernal |
| 2024 | EACL | Answering legal questions from laymen in German civil law system. | Marius Bttner, Ivan Habernal |
| 2024 | EACL | Differentially Private Natural Language Models: Recent Advances and Future Directions. | Lijie Hu, Ivan Habernal, Lei Shen, Di Wang |
| 2024 | EACL | DP-NMT: Scalable Differentially Private Machine Translation. | Timour Igamberdiev, Doan Nam Long Vu, Felix Knnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal |
| 2024 | EMNLP | Private Language Models via Truncated Laplacian Mechanism. | Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang |
| 2024 | EMNLP | Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. | Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal |
| 2023 | ACL | DP-BART for Privatized Text Rewriting under Local Differential Privacy. | Timour Igamberdiev, Ivan Habernal |
| 2023 | ACL | Trade-Offs Between Fairness and Privacy in Language Modeling. | Cleo Matzken, Steffen Eger, Ivan Habernal |
| 2023 | ICWSM | How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications. | Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek |
| 2022 | ACL | How reparametrization trick broke differentially-private text representation learning. | Ivan Habernal |
| 2022 | COLING | DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. | Timour Igamberdiev, Thomas Arnold, Ivan Habernal |
| 2022 | EMNLP | One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. | Manuel Senge, Timour Igamberdiev, Ivan Habernal |
| 2022 | LREC | Privacy-Preserving Graph Convolutional Networks for Text Classification. | Timour Igamberdiev, Ivan Habernal |
| 2021 | EMNLP | When differential privacy meets NLP: The devil is in the detail. | Ivan Habernal |
| 2020 | EMNLP | Why do you think that? Exploring faithful sentence-level rationales without supervision. | Max Glockner, Ivan Habernal, Iryna Gurevych |
| 2018 | LREC | Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices. | Ivan Habernal, Patrick Pauli, Iryna Gurevych |
| 2018 | NAACL | Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. | Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein |
| 2018 | NAACL | The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. | Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein |
| 2017 | ACL | Argumentation Quality Assessment: Theory vs. Practice. | Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, Benno Stein |
| 2017 | EMNLP | What is the Essence of a Claim? Cross-Domain Claim Identification. | Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych |
| 2017 | EMNLP | Argotario: Computational Argumentation Meets Serious Games. | Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych |
| 2016 | ACL | Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. | Ivan Habernal, Iryna Gurevych |
| 2016 | EMNLP | What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. | Ivan Habernal, Iryna Gurevych |
| 2016 | LREC | C4Corpus: Multilingual Web-size Corpus with Free License. | Ivan Habernal, Omnia Zayed, Iryna Gurevych |
| 2016 | LREC | Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations. | Maria Sukhareva, Judith Eckle-Kohler, Ivan Habernal, Iryna Gurevych |
| 2016 | SIGIR | New Collection Announcement: Focused Retrieval Over the Web. | Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, Iryna Gurevych |
| 2015 | EMNLP | Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse. | Ivan Habernal, Iryna Gurevych |
| 2014 | COLING | Sarcasm Detection on Czech and English Twitter. | Toms Ptcek, Ivan Habernal, Jun Hong |
| 2013 | RANLP | Unsupervised Improving of Sentiment Analysis Using Global Target Context. | Toms Brychcn, Ivan Habernal |
| 2010 | ADMA | Hybrid Semantic Analysis System - ATIS Data Evaluation. | Ivan Habernal, Miloslav Konopk |
| 2007 | Interspeech | JAAE: the java abstract annotation editor. | Ivan Habernal, Miloslav Konopk |