Lukas Lange
27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
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Conference Polyglot
(7)
🏃
Academic Marathon
(6)
🐣
Hot Topic Early Bird
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Dynamic Duo
(19)
🧬
Topic Evolution
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Keyword Champion
(3)
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Prolific Year
(7)
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Century Club
(26)
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Keyword Collector
(121)
Conferences
ACL (9)
EMNLP (9)
NAACL (3)
EACL (2)
AAAI (1)
COLING (1)
IJCNLP (1)
SEMEVAL (1)
Top co-authors
Keywords
named entity recognition
(7)
low-resource language
(5)
transfer learning
(4)
sequence labeling
(4)
domain adaptation
(4)
catastrophic forgetting
(3)
sentiment analysis
(3)
large language model
(3)
continual learning
(3)
multilingual nlp
(3)
low-resource setting
(3)
attention mechanism
(2)
model editing
(2)
confusion matrix
(2)
retrieval-augmented generation
(2)
few-shot learning
(2)
adversarial training
(2)
information extraction
(2)
knowledge editing
(2)
cross-lingual transfer
(2)
Papers
A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving
AAAI 2026
Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion
ACL 2025
Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes
EMNLP 2025
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models
ACL 2025
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization
EMNLP 2024
Rehearsal-Free Modular and Compositional Continual Learning for Language Models
NAACL 2024
Discourse-Aware In-Context Learning for Temporal Expression Normalization
NAACL 2024
Learn it or Leave it: Module Composition and Pruning for Continual Learning
ACL 2024
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports
COLING 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP 2024
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
EMNLP 2023
NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis
ACL 2023
Multilingual Normalization of Temporal Expressions with Masked Language Models
EACL 2023
NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis
SEMEVAL 2023
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains
EACL 2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
ACL 2023
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training
EMNLP 2023
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
NAACL 2021
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
EMNLP 2021
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
EMNLP 2021
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
ACL 2020
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
ACL 2020
On the Choice of Auxiliary Languages for Improved Sequence Tagging
ACL 2020
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
ACL 2020
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
IJCNLP 2019
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
EMNLP 2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
EMNLP 2019