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Nicolas Lell
Nicolas Lell
PhD Student, Ulm University
在 uni-ulm.de 的电子邮件经过验证
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STEREO: a pipeline for extracting experiment statistics, conditions, and topics from scientific papers
S Epp, M Hoffmann, N Lell, M Mohr, A Scherp
The 23rd International Conference on Information Integration and Web …, 2021
32021
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs
N Lell, A Scherp
International Cross-Domain Conference for Machine Learning and Knowledge …, 2023
22023
Fine-Tuning Language Models for Scientific Writing Support
J Mücke, D Waldow, L Metzger, P Schauz, M Hoffman, N Lell, A Scherp
International Cross-Domain Conference for Machine Learning and Knowledge …, 2023
22023
On the Rule-Based Extraction of Statistics Reported in Scientific Papers
T Kalmbach, M Hoffmann, N Lell, A Scherp
International Conference on Applications of Natural Language to Information …, 2023
12023
Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp
J Frank, M Hoffmann, N Lell, D Richerby, A Scherp
arXiv preprint arXiv:2407.18042, 2024
2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
N Lell, A Scherp
arXiv preprint arXiv:2407.11596, 2024
2024
Text Role Classification in Scientific Charts Using Multimodal Transformers
HJ Kim, N Lell, A Scherp
arXiv preprint arXiv:2402.14579, 2024
2024
Memorization of Named Entities in Fine-Tuned BERT Models
A Diera, N Lell, A Garifullina, A Scherp
International Cross-Domain Conference for Machine Learning and Knowledge …, 2023
2023
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting
T Kalmbach, M Hoffmann, N Lell, A Scherp
arXiv preprint arXiv:2211.13632, 2022
2022
Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO.
S Epp, M Hoffmann, N Lell, M Mohr, A Scherp
J. Data Intell. 3 (2), 252-277, 2022
2022
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