Lukas Galke
6 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🌍 Conference Polyglot · Bronze
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Topic Evolution
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Unstoppable · Bronze
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Research topics
Artificial Intelligence
(4)
Natural Language Processing
(4)
Deep Learning
(3)
Machine Learning
(3)
Core AI
(3)
Application Areas
(2)
Applications · Natural Language Processing
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
large language model
(3)
zero-shot learning
(1)
domain generalization
(1)
text classification
(1)
neural network optimization
(1)
model parallelism
(1)
cross-linguistic analysis
(1)
distributed training
(1)
word order
(1)
natural language
(1)
low-resource language
(1)
memory efficiency
(1)
benchmark dataset
(1)
model generalization
(1)
text embedding
(1)
gradient synchronization
(1)
word embedding
(1)
quantization-aware training
(1)
multi-layer perceptron
(1)
programming language
(1)
Papers
DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes
AAAI 2026
Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?
ACL 2025
Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test
ACL 2024
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding
EMNLP 2023
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP
ACL 2022
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
ICLR 2019