KRAUTS: A German Temporally Annotated News Corpus. - Jannik Strötgen; Anne-Lyse Minard; Lukas Lange; Manuela Speranza; Bernardo Magnini (LREC, 2018)

NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection. - Lukas Lange; Heike Adel; Jannik Strötgen (BioNLP-OST@EMNLP-IJNCLP, 2019)

Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. - Lukas Lange; Michael A. Hedderich; Dietrich Klakow (EMNLP/IJCNLP (1), 2019)

NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. - Lukas Lange; Heike Adel; Jannik Strötgen (IberLEF@SEPLN, 2019)

The Power of Temporal Features for Classifying News Articles. - Lukas Lange; Omar Alonso; Jannik Strötgen (WWW (Companion Volume), 2019)

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 (ACL, 2020)

Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. - Lukas Lange; Heike Adel; Jannik Strötgen (ACL, 2020)

On the Choice of Auxiliary Languages for Improved Sequence Tagging. - Lukas Lange; Heike Adel; Jannik Strötgen (RepL4NLP@ACL, 2020)

Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. - Lukas Lange; Anastasiia Iurshina; Heike Adel; Jannik Strötgen (RepL4NLP@ACL, 2020)

NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. - Lukas Lange; Xiang Dai; Heike Adel; Jannik Strötgen (IberLEF@SEPLN, 2020)

Adversarial Learning of Feature-based Meta-Embeddings. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (CoRR, 2020)

FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (EMNLP (1), 2021)

To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. - Lukas Lange; Jannik Strötgen; Heike Adel; Dietrich Klakow (EMNLP (1), 2021)

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. - Michael A. Hedderich; Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (NAACL-HLT, 2021)

Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. - Lukas Lange; Heike Adel; Jannik Strötgen (IberLEF@SEPLN, 2021)

ANEA: Distant Supervision for Low-Resource Named Entity Recognition. - Michael A. Hedderich; Lukas Lange; Dietrich Klakow (CoRR, 2021)

CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (CoRR, 2021)

CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (Bioinform., 2022)

Robust input representations for low-resource information extraction. - Lukas Lange (2022)

TADA: Efficient Task-Agnostic Domain Adaptation for Transformers. - Chia-Chien Hung; Lukas Lange; Jannik Strötgen (ACL (Findings), 2023)

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. - Koustava Goswami; Lukas Lange; Jun Araki; Heike Adel (EACL, 2023)

Multilingual Normalization of Temporal Expressions with Masked Language Models. - Lukas Lange; Jannik Strötgen; Heike Adel; Dietrich Klakow (EACL, 2023)

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 003 (EMNLP (Findings), 2023)

GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (EMNLP, 2023)

NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (SemEval@ACL, 2023)

BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation. - Timo Pierre Schrader; Simon Razniewski; Lukas Lange; Annemarie Friedrich (CoRR, 2023)

AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. - Lukas Lange; Marc Müller; Ghazaleh Haratinezhad Torbati; Dragan Milchevski; Patrick Grau; Subhash Chandra Pujari; Annemarie Friedrich (LREC/COLING, 2024)

QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios. - Timo Pierre Schrader; Lukas Lange; Simon Razniewski; Annemarie Friedrich (EMNLP, 2024)

Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization. - Mingyang Wang 003; Lukas Lange; Heike Adel; Jannik Strötgen; Hinrich Schütze (EMNLP (Findings), 2024)

Discourse-Aware In-Context Learning for Temporal Expression Normalization. - Akash Kumar Gautam; Lukas Lange; Jannik Strötgen (NAACL (Short Papers), 2024)

Rehearsal-Free Modular and Compositional Continual Learning for Language Models. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (NAACL (Short Papers), 2024)

Learn it or Leave it: Module Composition and Pruning for Continual Learning. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (CoRR, 2024)

Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models. - Mingyang Wang 003; Heike Adel; Lukas Lange; Yihong Liu 001; Ercong Nie; Jannik Strötgen; Hinrich Schütze (ACL (1), 2025)

Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion. - Mingyang Wang 003; Alisa Stoll; Lukas Lange; Heike Adel; Hinrich Schütze; Jannik Strötgen (CoRR, 2025)

PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos. - Kangda Wei; Zhengyu Zhou; Bingqing Wang; Jun Araki; Lukas Lange; Ruihong Huang; Zhe Feng 003 (CoRR, 2025)

Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes. - Mingyang Wang 003; Lukas Lange; Heike Adel; Yunpu Ma; Jannik Strötgen; Hinrich Schütze (CoRR, 2025)