| 2026 | AAAI | A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving. | Timo Pierre Schrader, Lukas Lange, Tobias Kaminski, Simon Razniewski, Annemarie Friedrich |
| 2025 | ACL | Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models. | Mingyang Wang, Heike Adel, Lukas Lange, Yihong Liu, Ercong Nie, Jannik Strtgen, Hinrich Schtze |
| 2025 | EMNLP | Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes. | Mingyang Wang, Lukas Lange, Heike Adel, Yunpu Ma, Jannik Strtgen, Hinrich Schtze |
| 2025 | NeSy | Explainable Zero-Shot Visual Question Answering via Logic-Based Reasoning. | Thomas Eiter, Jan Hadl, Nelson Higuera Ruiz, Lukas Lange, Johannes Oetsch, Bileam Scheuvens, Jannik Strtgen |
| 2024 | COLING | AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. | Lukas Lange, Marc Mller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Chandra Pujari, Annemarie Friedrich |
| 2024 | EMNLP | QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios. | Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich |
| 2024 | EMNLP | Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization. | Mingyang Wang, Lukas Lange, Heike Adel, Jannik Strtgen, Hinrich Schtze |
| 2024 | NAACL | Discourse-Aware In-Context Learning for Temporal Expression Normalization. | Akash Kumar Gautam, Lukas Lange, Jannik Strtgen |
| 2024 | NAACL | Rehearsal-Free Modular and Compositional Continual Learning for Language Models. | Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strtgen, Hinrich Schtze |
| 2023 | ACL | TADA: Efficient Task-Agnostic Domain Adaptation for Transformers. | Chia-Chien Hung, Lukas Lange, Jannik Strtgen |
| 2023 | EACL | SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. | Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel |
| 2023 | EACL | Multilingual Normalization of Temporal Expressions with Masked Language Models. | Lukas Lange, Jannik Strtgen, Heike Adel, Dietrich Klakow |
| 2023 | EMNLP | DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. | Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng |
| 2023 | EMNLP | GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. | Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strtgen, Hinrich Schtze |
| 2021 | EMNLP | FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. | Lukas Lange, Heike Adel, Jannik Strtgen, Dietrich Klakow |
| 2021 | EMNLP | To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. | Lukas Lange, Jannik Strtgen, Heike Adel, Dietrich Klakow |
| 2021 | NAACL | A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. | Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strtgen, Dietrich Klakow |
| 2020 | ACL | The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain. | Annemarie Friedrich, Heike Adel, Federico Tomazic, Johannes Hingerl, Renou Benteau, Anika Marusczyk, Lukas Lange |
| 2020 | ACL | Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. | Lukas Lange, Heike Adel, Jannik Strtgen |
| 2019 | EMNLP | Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. | Lukas Lange, Michael A. Hedderich, Dietrich Klakow |
| 2019 | WWW | The Power of Temporal Features for Classifying News Articles. | Lukas Lange, Omar Alonso, Jannik Strtgen |
| 2018 | LREC | KRAUTS: A German Temporally Annotated News Corpus. | Jannik Strtgen, Anne-Lyse Minard, Lukas Lange, Manuela Speranza, Bernardo Magnini |