Lukas Lange
25 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (55)
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Topic Evolution
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Dynamic Duo
(18)
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Keyword Collector
(117)
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Century Club · Bronze
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Prolific Year · Productive
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Research topics
Natural Language Processing
(21)
Artificial Intelligence
(16)
Machine Learning
(16)
Learning Types · Machine Learning
(14)
Resources & Methods
(10)
Deep Learning
(9)
Application Areas
(9)
Applications
(9)
Learning Paradigms
(9)
Understanding
(9)
Learning Types · Deep Learning
(8)
Core AI
(7)
Techniques
(3)
Healthcare & Medicine
(2)
Architectures
(2)
Keywords
named entity recognition
(6)
low-resource language
(4)
sequence labeling
(4)
domain adaptation
(4)
catastrophic forgetting
(3)
continual learning
(3)
large language model
(3)
multilingual nlp
(3)
transfer learning
(3)
pre-trained language model
(2)
model editing
(2)
retrieval-augmented generation
(2)
few-shot learning
(2)
attention mechanism
(2)
sentiment analysis
(2)
adversarial training
(2)
information extraction
(2)
knowledge editing
(2)
cross-lingual transfer
(2)
part-of-speech tagging
(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
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports
COLING 2024
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization
EMNLP 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
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP 2024
Rehearsal-Free Modular and Compositional Continual Learning for Language Models
NAACL 2024
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
EMNLP 2023
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training
EMNLP 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
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
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
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
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
ACL 2020
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
EMNLP 2019
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
EMNLP 2019