Lukas Galke - RankMe

66 papers A* 1A 4B 4Journal 37Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes. AAAI Mogens Henrik From, Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp
2025	J	`jnl`	A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification. CoRR Yousef Younes, Lukas Galke, Ansgar Scherp
2025	J	`jnl`	Chain of Summaries: Summarization Through Iterative Questioning. CoRR William Brach, Lukas Galke
2025	—	`conf`	Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? ACL (Findings) Jacob Nielsen, Peter Schneider-Kamp, Lukas Galke
2025	J	`jnl`	Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? CoRR Jacob Nielsen, Peter Schneider-Kamp, Lukas Galke
2025	J	`jnl`	Dynaword: From One-shot to Continuously Developed Datasets. CoRR Kenneth C. Enevoldsen, Kristian Nørgaard Jensen, Jan Kostkan, Balázs Szabó, Márton Kardos, Kirten Vad, Johan Heinsen, Andrea Blasi Núñez, Gianluca Barmina, Jacob Nielsen, Rasmus Larsen, Peter Bjerregaard Vahlstrup, Per Møldrup-Dalum, Desmond Elliott, Lukas Galke, Peter Schneider-Kamp, Kristoffer L. Nielbo
2025	—	`conf`	Efficient Continual Learning for Small Language Models with a Discrete Key-Value Bottleneck. ICNLSP Andor Diera, Lukas Galke, Fabian Karl, Ansgar Scherp
2025	J	`jnl`	FlexDeMo: Decoupled Momentum Optimization for Fully and Hybrid Sharded Training. CoRR Mogens Henrik From, Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp
2025	J	`jnl`	Four Shades of Life Sciences: A Dataset for Disinformation Detection in the Life Sciences. CoRR Eva Seidlmayer, Lukas Galke, Konrad U. Förstner
2025	A	`conf`	Guarded Query Routing for Large Language Models. ECAI Richard Sléher, William Brach, Tibor Sloboda, Kristián Kostál, Lukas Galke
2025	J	`jnl`	Guarded Query Routing for Large Language Models. CoRR Richard Sléher, William Brach, Tibor Sloboda, Kristián Kostál, Lukas Galke
2025	A	`conf`	Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax. ECAI Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2025	J	`jnl`	Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax. CoRR Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2025	J	`jnl`	Isolating Culture Neurons in Multilingual Large Language Models. CoRR Danial Namazifard, Lukas Galke
2025	J	`jnl`	Not Everything That Counts Can Be Counted: A Case for Safe Qualitative AI. CoRR Stine Lyngsø Beltoft, Lukas Galke
2025	—	`ed.`	Proceedings of the 8th International Conference on Natural Language and Speech Processing, ICNLSP 2025, Southern Denmark University, Odense, Denmark, August 25-27, 2025 ICNLSP Mourad Abbas, Tariq Yousef, Lukas Galke
2025	J	`jnl`	Super-additive Cooperation in Language Model Agents. CoRR Filippo Tonini, Lukas Galke
2025	—	`conf`	Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT5. ICNLSP Thao Anh Dang, Limor Raviv, Lukas Galke
2025	—	`conf`	When Are 1.58 Bits Enough? A Bottom-up Exploration of Quantization-Aware Training with Ternary Weights. ICAART (3) Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp
2024	J	`jnl`	Continual Learning for Encoder-only Language Models via a Discrete Key-Value Bottleneck. CoRR Andor Diera, Lukas Galke, Fabian Karl, Ansgar Scherp
2024	J	`jnl`	Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence. IEEE Trans. Engineering Management Tetyana Melnychuk, Lukas Galke, Eva Seidlmayer, Stefanie Bröring, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz
2024	J	`jnl`	Emergent communication and learning pressures in language models: a language evolution perspective. CoRR Lukas Galke, Limor Raviv
2024	J	`jnl`	Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same Medal. CoRR Nerijus Bertalis, Paul Granse, Ferhat Gül, Florian Hauss, Leon Menkel, David Schüler, Tom Speier, Lukas Galke, Ansgar Scherp
2024	J	`jnl`	Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search. CoRR Andor Diera, Lukas Galke, Ansgar Scherp
2024	—	`conf`	POWN: Prototypical Open-World Node Classification. CoLLAs Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2024	J	`jnl`	POWN: Prototypical Open-World Node Classification. CoRR Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2024	A	`conf`	RADAr: A Transformer-Based Autoregressive Decoder Architecture for Hierarchical Text Classification. ECAI Yousef Younes, Lukas Galke, Ansgar Scherp
2024	J	`jnl`	Research topic displacement and the lack of interdisciplinarity: lessons from the scientific response to COVID-19. Scientometrics Eva Seidlmayer, Tetyana Melnychuk, Lukas Galke, Lisa Kühnel, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner
2024	J	`jnl`	Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT5. CoRR Thao Anh Dang, Limor Raviv, Lukas Galke
2024	J	`jnl`	When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization. CoRR Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp
2023	J	`jnl`	GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding. CoRR Andor Diera, Abdelhalim Hafedh Dahou, Lukas Galke, Fabian Karl, Florian Sihler, Ansgar Scherp
2023	J	`jnl`	Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. Neural Networks Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp
2023	B	`conf`	Open-World Lifelong Graph Learning. IJCNN Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2023	J	`jnl`	Open-World Lifelong Graph Learning. CoRR Marcel Hoffmann, Lukas Galke, Ansgar Scherp
2023	—	`—`	Representation Learning for Texts and Graphs: A Unified Perspective on Efficiency, Multimodality, and Adaptability. Lukas Galke
2023	J	`jnl`	What makes a language easy to deep-learn? CoRR Lukas Galke, Yoav Ram, Limor Raviv
2022	—	`conf`	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 (1) Lukas Galke, Ansgar Scherp
2022	J	`jnl`	Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification. CoRR Andor Diera, Bao Xin Lin, Bhakti Khera, Tim Meuser, Tushar Singhal, Lukas Galke, Ansgar Scherp
2022	J	`jnl`	Emergent Communication for Understanding Human Language Evolution: What's Missing? CoRR Lukas Galke, Yoav Ram, Limor Raviv
2022	B	`conf`	General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings. IJCNN Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp
2022	J	`jnl`	Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. Inf. Retr. J. Iacopo Vagliano, Lukas Galke, Ansgar Scherp
2021	—	`conf`	COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. IEEE BigData Lukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz
2021	J	`jnl`	Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification. CoRR Lukas Galke, Ansgar Scherp
2021	J	`jnl`	Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. CoRR Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp
2021	B	`conf`	Lifelong Learning of Graph Neural Networks for Open-World Node Classification. IJCNN Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp
2021	J	`jnl`	New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. CoRR Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp
2021	J	`jnl`	Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities. CoRR Iacopo Vagliano, Lukas Galke, Ansgar Scherp
2020	J	`jnl`	Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift. CoRR Lukas Galke, Iacopo Vagliano, Ansgar Scherp
2020	—	`conf`	ORCID for Wikidata. Data enrichment for scientometric applications. Wikidata@ISWC Eva Seidlmayer, Jakob Voß, Tetyana Melnychuk, Lukas Galke, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner
2019	—	`conf`	CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. ICLR (Poster) Florian Mai, Lukas Galke, Ansgar Scherp
2019	J	`jnl`	CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. CoRR Florian Mai, Lukas Galke, Ansgar Scherp
2019	J	`jnl`	Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. CoRR Lukas Galke, Iacopo Vagliano, Ansgar Scherp
2019	—	`conf`	Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora. GI-Jahrestagung Lukas Galke, Tetyana Melnychuk, Eva Seidlmayer, Steffen Trog, Konrad U. Förstner, Carsten Schultz, Klaus Tochtermann
2019	J	`jnl`	Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. CoRR Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
2019	—	`conf`	Take it Personally - A Python library for data enrichment for infometrical applications. SEMANTiCS (Posters & Demos) Eva Seidlmayer, Lukas Galke, Tetyana Melnychuk
2019	—	`conf`	What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? GI-Jahrestagung Lukas Galke, Florian Mai, Ansgar Scherp
2018	—	`conf`	A Case Study of Closed-Domain Response Suggestion with Limited Training Data. DEXA Workshops Lukas Galke, Gunnar Gerstenkorn, Ansgar Scherp
2018	—	`conf`	Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph. JCDL Anne Lauscher, Kai Eckert, Lukas Galke, Ansgar Scherp, Syed Tahseen Raza Rizvi, Sheraz Ahmed, Andreas Dengel, Philipp Zumstein, Annette Klein
2018	A	`conf`	Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. UMAP Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
2018	—	`conf`	Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents. ICADL Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp
2018	—	`conf`	Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. RecSys Challenge Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp
2018	J	`jnl`	Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text. CoRR Florian Mai, Lukas Galke, Ansgar Scherp
2018	—	`conf`	Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text. JCDL Florian Mai, Lukas Galke, Ansgar Scherp
2017	J	`jnl`	Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles. CoRR Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
2017	B	`conf`	Using Titles vs. Full-text as Source for Automated Semantic Document Annotation. K-CAP Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
2017	—	`conf`	Word Embeddings for Practical Information Retrieval. GI-Jahrestagung Lukas Galke, Ahmed Saleh, Ansgar Scherp