Lukas Paul Achatius Galke

Søgeresultater

• 2025

  When Are 1.58 Bits Enough? A Bottom-up Exploration of Quantization-Aware Training with Ternary Weights

  Nielsen, J., Galke, L. & Schneider-Kamp, P., 2025, Proceedings of the 17th International Conference on Agents and Artificial Intelligence. Bind 3. s. 1440-1449 (International Conference on Agents and Artificial Intelligence).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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  • Language Modeling 100%
  • Regularization 20%
  • Resource Requirement 20%
  • Multilayer Perceptron 20%
  • Graph Neural Network 20%
  5 Downloads (Pure)
• 2024

  Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test

  Dang, A., Raviv, L. & Galke, L., 2024, CMCL 2024 - 13th Edition of the Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop. Kuribayashi, T., Rambelli, G., Takmaz, E., Wicke, P. & Oseki, Y. (red.). Association for Computational Linguistics (ACL), s. 177-188 (CMCL 2024 - 13th Edition of the Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Large Language Model 100%
  • Generalization Ability 100%
  • Training Data 20%
  • Language Modeling 20%
  • Low-resource Languages 20%

• RADAr: A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification

  Younes, Y., Galke, L. P. A. & Scherp, A., 2024, 27th European Conference on Artificial Intelligence 2024 (ECAI 2024). IOS Press, s. 1559-1566 (Frontiers in Artificial Intelligence and Applications, Bind 392).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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  • Text Classification 100%
  • Semantic Label 40%
  • Practical Implication 20%
  • Speed-up 20%
  • classification approach 20%
  9 Downloads (Pure)
• 2023

  GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding

  Diera, A., Dahou, A., Galke, L., Karl, F., Sihler, F. & Scherp, A., 2023, GenBench 2023 - GenBench: 1st Workshop on Generalisation (Benchmarking) in NLP, Proceedings. Hupkes, D., Dankers, V., Batsuren, K., Sinha, K., Kazemnejad, A., Christodoulopoulos, C., Cotterell, R. & Bruni, E. (red.). Association for Computational Linguistics (ACL), s. 130-142 (GenBench 2023 - GenBench: 1st Workshop on Generalisation (Benchmarking) in NLP, Proceedings).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Language Understanding 100%
  • Programming Language 100%
  • Language Modeling 50%
  • Code Generation 25%
  • Training Data 25%

• Open-World Lifelong Graph Learning

  Hoffmann, M., Galke, L. & Scherp, A., 2023, IJCNN 2023 - International Joint Conference on Neural Networks, Proceedings. IEEE, (Proceedings of the International Joint Conference on Neural Networks, Bind 2023-June).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Detection Method 100%
  • Graph Neural Network 40%
  • Neighbourhood Graph 40%
  • World Application 20%
  • Relevance Feedback 20%
• 2022

  Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP

  Galke, L. & Scherp, A., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (red.). Association for Computational Linguistics (ACL), s. 4038-4051 (Proceedings of the Annual Meeting of the Association for Computational Linguistics, Bind 1).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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  • Text Classification 100%
  • Multilayer Perceptron 100%
  • DistilBERT 50%
  • Classification Method 25%
  • Bidirectional Encoder Representations From Transformers 25%

• Emergent Communication for Understanding Human Language Evolution: What's Missing?

  Galke, L., Ram, Y. & Raviv, L., 2022, Emergent Communication Workshop at ICLR 2022.

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning

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  • Behavior (Neuroscience) 100%
  • Artificial Neural Network 100%
  • Neural Network 100%

• General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings

  Galke, L., Cuber, I., Meyer, C., Nolscher, H. F., Sonderecker, A. & Scherp, A., 2022, 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. IEEE, (Proceedings of the International Joint Conference on Neural Networks, Bind 2022-July).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Language Modeling 100%
  • Embedding Matrix 100%
  • Mobile Device 100%
  • Matrix Multiplication 33%
  • Expressive Power 33%
• 2021

  COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics

  Galke, L., Seidlmayer, E., Ludemann, G., Langnickel, L., Melnychuk, T., Forstner, K. U., Tochtermann, K. & Schultz, C., 2021, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Chen, Y., Ludwig, H., Tu, Y., Fayyad, U., Zhu, X., Hu, X. T., Byna, S., Liu, X., Zhang, J., Pan, S., Papalexakis, V., Wang, J., Cuzzocrea, A. & Ordonez, C. (red.). IEEE, s. 4350-4355 (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  Åben adgang

  • Annotation 100%
  • Heuristic Method 100%
  • Controlled Vocabulary 33%
  • Graph Neural Network 33%

• Lifelong Learning of Graph Neural Networks for Open-World Node Classification

  Galke, L., Franke, B., Zielke, T. & Scherp, A., 18. jul. 2021, IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings. IEEE, (Proceedings of the International Joint Conference on Neural Networks, Bind 2021-July).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Lifelong Learning 100%
  • Graph Neural Network 100%
  • Node Classification 100%
  • Explicit Knowledge 66%
  • Time Difference 33%
• 2019

  Can Graph Neural Networks Go „Online“? An Analysis of Pretraining and Inference

  Galke, L. P. A., Vagliano, I. & Scherp, A., 2019, Representation Learning on Graphs and Manifolds workshop @ ICLR 2019. 5 s.

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning

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• Inductive learning of concept representations from library-scale corpora with graph convolution

  Galke, L., Melnychuk, T., Seidlmayer, E., Trog, S., Förstner, K. U., Schultz, C. & Tochtermann, K., 2019, INFORMATIK 2019: 50 Jahre Gesellschaft fur Informatik - Informatik fur Gesellschaft Konferenzbeitrage der 49. Jahrestagung der Gesellschaft fur Informatik. David, K., Geihs, K., Lange, M. & Stumme, G. (red.). Gesellschaft fur Informatik (GI), s. 219-232 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), Bind 294).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Graph Convolution 100%
  • Graph Neural Network 100%
  • Bibliographic Data 50%
  • Training Objective 50%
  • Research Paper 25%
• 2018

  A case study of closed-domain response suggestion with limited training data

  Galke, L., Gerstenkorn, G. & Scherp, A., 2018, Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Proceedings. Hameurlain, A., Stein, B., Elloumi, M., Tjoa, A. M., Wagner, R., Seifert, C. & Granitzer, M. (red.). Springer, s. 218-229 (Communications in Computer and Information Science, Bind 903).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Case Study 100%
  • Training Data 100%
  • Information Retrieval 75%
  • Learning Approach 50%
  • Representation Learning 50%

• Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph

  Lauscher, A., Eckert, K., Galke, L., Scherp, A., Rizvi, S. T. R., Ahmed, S., Dengel, A., Zumstein, P. & Klein, A., 23. maj 2018, JCDL 2018 - Proceedings of the 18th ACM/IEEE Joint Conference on Digital Libraries. IEEE, s. 109-118 (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Citation Data 100%
  • Infrastructure System 50%
  • Evaluation Result 50%
  • Automatic Approach 50%
  • Linked Data 50%

• Multi-modal adversarial autoencoders for recommendations of citations and subject labels

  Galke, L., Mai, F., Vagliano, I. & Scherp, A., 3. jul. 2018, UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, s. 197-205 (UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Multi-modal 100%
  • Citations 100%
  • Cooccurrence 100%
  • Autoencoder 100%
  • Relatedness 100%

• Performance comparison of Ad-Hoc retrieval models over full-text vs. titles of documents

  Saleh, A., Beck, T., Galke, L. & Scherp, A., 2018, Maturity and Innovation in Digital Libraries - 20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, Proceedings. Žumer, M., Hinze, A. & Dobreva, M. (red.). Springer, s. 290-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11279 LNCS).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Performance Comparison 100%
  • retrieval model 100%
  • Information Retrieval 66%
  • Comparison Study 16%
  • Scientific Paper 16%

• Using adversarial autoencoders for multi-modal automatic playlist continuation

  Vagliano, I., Galke, L., Mai, F. & Scherp, A., 2. okt. 2018, Proceedings of the ACM Recommender Systems Challenge 2018, RecSys Challenge 2018. Association for Computing Machinery, a5. (ACM International Conference Proceeding Series).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Multi-modal 100%
  • Continuation 100%
  • Playlist 100%
  • Implicit Bias 50%
  • Engagement 7%

• Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text

  Mai, F., Galke, L. & Scherp, A., 23. maj 2018, JCDL 2018 - Proceedings of the 18th ACM/IEEE Joint Conference on Digital Libraries. IEEE, s. 169-178 (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Deep Learning Method 100%
  • Classification Performance 50%
  • Classification Algorithm 50%
  • Annotation 50%
  • Training Data 50%
• 2017

  Using Titles vs. Full-text as source for automated semantic document annotation

  Galke, L., Mai, F., Schelten, A., Brunsch, D. & Scherp, A., 4. dec. 2017, Proceedings of the Knowledge Capture Conference, K-CAP 2017. Association for Computing Machinery, 20. (Proceedings of the Knowledge Capture Conference, K-CAP 2017).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Traditional Method 100%
  • Neural Network 100%
  • Logistic Regression 100%
  • Support Vector Machine 100%
  • Annotation 100%

• Word Embeddings for Practical Information Retrieval

  Galke, L., Saleh, A. & Scherp, A., 2017, 47. Jahrestagung der Gesellschaft fur Informatik, Informatik 2017. Eibl, M. & Gaedke, M. (red.). Gesellschaft fur Informatik (GI), s. 2155-2167 13 s. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), Bind 275).

  Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Inverse Document Frequency 100%
  • Information Retrieval 100%
  • Word Embedding 100%
  • retrieval model 75%
  • Mean Average Precision 25%