Word Embeddings for Practical Information Retrieval. - Lukas Galke; Ahmed Saleh 003; Ansgar Scherp (GI-Jahrestagung, 2017)

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation. - Lukas Galke; Florian Mai; Alan Schelten; Dennis Brunsch; Ansgar Scherp (K-CAP, 2017)

Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles. - Lukas Galke; Florian Mai; Alan Schelten; Dennis Brunsch; Ansgar Scherp (CoRR, 2017)

A Case Study of Closed-Domain Response Suggestion with Limited Training Data. - Lukas Galke; Gunnar Gerstenkorn; Ansgar Scherp (DEXA Workshops, 2018)

Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents. - Ahmed Saleh 003; Tilman Beck; Lukas Galke; Ansgar Scherp (ICADL, 2018)

Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph. - Anne Lauscher; Kai Eckert 001; Lukas Galke; Ansgar Scherp; Syed Tahseen Raza Rizvi; Sheraz Ahmed; Andreas Dengel 001; Philipp Zumstein; Annette Klein (JCDL, 2018)

Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text. - Florian Mai; Lukas Galke; Ansgar Scherp (JCDL, 2018)

Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. - Iacopo Vagliano; Lukas Galke; Florian Mai; Ansgar Scherp (RecSys Challenge, 2018)

Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. - Lukas Galke; Florian Mai; Iacopo Vagliano; Ansgar Scherp (UMAP, 2018)

What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? - Lukas Galke; Florian Mai; Ansgar Scherp (GI-Jahrestagung, 2019)

Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora. - Lukas Galke; Tetyana Melnychuk; Eva Seidlmayer; Steffen Trog; Konrad U. Förstner; Carsten Schultz; Klaus Tochtermann (GI-Jahrestagung, 2019)

Take it Personally - A Python library for data enrichment for infometrical applications. - Eva Seidlmayer; Lukas Galke; Tetyana Melnychuk (SEMANTiCS (Posters & Demos), 2019)

CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. - Florian Mai; Lukas Galke; Ansgar Scherp (ICLR (Poster), 2019)

Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. - Lukas Galke; Iacopo Vagliano; Ansgar Scherp (CoRR, 2019)

ORCID for Wikidata. Data enrichment for scientometric applications. - Eva Seidlmayer; Jakob Voß; Tetyana Melnychuk; Lukas Galke; Klaus Tochtermann; Carsten Schultz; Konrad U. Förstner (Wikidata@ISWC, 2020)

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift. - Lukas Galke; Iacopo Vagliano; Ansgar Scherp (CoRR, 2020)

Lifelong Learning of Graph Neural Networks for Open-World Node Classification. - Lukas Galke; Benedikt Franke; Tobias Zielke; Ansgar Scherp (Zenodo, 2020)

Embeddings from "CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix-Space Model". - Florian Mai; Lukas Galke; Ansgar Scherp (Zenodo, 2020)

COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. - Lukas Galke; Eva Seidlmayer; Gavin Lüdemann; Lisa Langnickel; Tetyana Melnychuk; Konrad U. Förstner; Klaus Tochtermann; Carsten Schultz (IEEE BigData, 2021)

Lifelong Learning of Graph Neural Networks for Open-World Node Classification. - Lukas Galke; Benedikt Franke; Tobias Zielke; Ansgar Scherp (IJCNN, 2021)

Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification. - Lukas Galke; Ansgar Scherp (CoRR, 2021)

New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. - Lukas Galke; Isabelle Cuber; Christoph Meyer 007; Henrik Ferdinand Nölscher; Angelina Sonderecker; Ansgar Scherp (CoRR, 2021)

Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. - Lukas Galke; Iacopo Vagliano; Benedikt Franke; Tobias Zielke; Ansgar Scherp (CoRR, 2021)

Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP. - Lukas Galke; Ansgar Scherp (ACL (1), 2022)

General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings. - Lukas Galke; Isabelle Cuber; Christoph Meyer 007; Henrik Ferdinand Nölscher; Angelina Sonderecker; Ansgar Scherp (IJCNN, 2022)

Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification. - Andor Diera; Bao Xin Lin; Bhakti Khera; Tim Meuser; Tushar Singhal; Lukas Galke; Ansgar Scherp (CoRR, 2022)

Emergent Communication for Understanding Human Language Evolution: What's Missing? - Lukas Galke; Yoav Ram; Limor Raviv (CoRR, 2022)

Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. - Iacopo Vagliano; Lukas Galke; Ansgar Scherp (Inf. Retr. J., 2022)

Open-World Lifelong Graph Learning. - Marcel Hoffmann 002; Lukas Galke; Ansgar Scherp (IJCNN, 2023)

What makes a language easy to deep-learn? - Lukas Galke; Yoav Ram; Limor Raviv (CoRR, 2023)

GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding. - Andor Diera; Abdelhalim Hafedh Dahou; Lukas Galke; Fabian Karl 001; Florian Sihler; Ansgar Scherp (CoRR, 2023)

Representation Learning for Texts and Graphs: A Unified Perspective on Efficiency, Multimodality, and Adaptability. - Lukas Galke (2023)

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. - Lukas Galke; Iacopo Vagliano; Benedikt Franke; Tobias Zielke; Marcel Hoffmann 002; Ansgar Scherp (Neural Networks, 2023)

POWN: Prototypical Open-World Node Classification. - Marcel Hoffmann 002; Lukas Galke; Ansgar Scherp (CoLLAs, 2024)

RADAr: A Transformer-Based Autoregressive Decoder Architecture for Hierarchical Text Classification. - Yousef Younes; Lukas Galke; Ansgar Scherp (ECAI, 2024)

Emergent communication and learning pressures in language models: a language evolution perspective. - Lukas Galke; Limor Raviv (CoRR, 2024)

Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT5. - Thao Anh Dang; Limor Raviv; Lukas Galke (CoRR, 2024)

When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization. - Jacob Nielsen; Lukas Galke; Peter Schneider-Kamp (CoRR, 2024)

Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same Medal. - Nerijus Bertalis; Paul Granse; Ferhat Gül; Florian Hauss; Leon Menkel; David Schüler; Tom Speier; Lukas Galke; Ansgar Scherp (CoRR, 2024)

Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search. - Andor Diera; Lukas Galke; Ansgar Scherp (CoRR, 2024)

Continual Learning for Encoder-only Language Models via a Discrete Key-Value Bottleneck. - Andor Diera; Lukas Galke; Fabian Karl 001; Ansgar Scherp (CoRR, 2024)

Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence. - Tetyana Melnychuk; Lukas Galke; Eva Seidlmayer; Stefanie Bröring; Konrad U. Förstner; Klaus Tochtermann; Carsten Schultz (IEEE Trans. Engineering Management, 2024)

Research topic displacement and the lack of interdisciplinarity: lessons from the scientific response to COVID-19. - Eva Seidlmayer; Tetyana Melnychuk; Lukas Galke; Lisa Kühnel; Klaus Tochtermann; Carsten Schultz; Konrad U. Förstner (Scientometrics, 2024)

Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? - Jacob Nielsen; Peter Schneider-Kamp; Lukas Galke (ACL (Findings), 2025)

When Are 1.58 Bits Enough? A Bottom-up Exploration of Quantization-Aware Training with Ternary Weights. - Jacob Nielsen; Lukas Galke; Peter Schneider-Kamp (ICAART (3), 2025)

A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification. - Yousef Younes; Lukas Galke; Ansgar Scherp (CoRR, 2025)

FlexDeMo: Decoupled Momentum Optimization for Fully and Hybrid Sharded Training. - Mogens Henrik From; Jacob Nielsen; Lukas Galke; Peter Schneider-Kamp (CoRR, 2025)

Guarded Query Routing for Large Language Models. - Richard Sléher; William Brach; Tibor Sloboda; Kristián Kostál; Lukas Galke (CoRR, 2025)

Four Shades of Life Sciences: A Dataset for Disinformation Detection in the Life Sciences. - Eva Seidlmayer; Lukas Galke; Konrad U. Förstner (CoRR, 2025)

Isolating Culture Neurons in Multilingual Large Language Models. - Danial Namazifard; Lukas Galke (CoRR, 2025)

Dynaword: From One-shot to Continuously Developed Datasets. - 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 001; Peter Bjerregaard Vahlstrup; et al. (CoRR, 2025)

Super-additive Cooperation in Language Model Agents. - Filippo Tonini; Lukas Galke (CoRR, 2025)