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Fine-Tuning Language Models for Scientific Writing Support.

, , , , , , and . CD-MAKE, volume 14065 of Lecture Notes in Computer Science, page 301-318. Springer, (2023)

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STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers., , , , and . iiWAS, page 340-349. ACM, (2021)Memorization of Named Entities in Fine-Tuned BERT Models., , , and . CD-MAKE, volume 14065 of Lecture Notes in Computer Science, page 258-279. Springer, (2023)A Study on Extracting Named Entities from Fine-tuned vs. Differentially Private Fine-tuned BERT Models., , , and . CoRR, (2022)Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting., , , and . CoRR, (2022)A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers., , , , and . CoRR, (2021)On the Rule-Based Extraction of Statistics Reported in Scientific Papers., , , and . NLDB, volume 13913 of Lecture Notes in Computer Science, page 326-338. Springer, (2023)The Split Matters: Flat Minima Methods for Improving the Performance of GNNs., and . CD-MAKE, volume 14065 of Lecture Notes in Computer Science, page 200-226. Springer, (2023)Fine-Tuning Language Models for Scientific Writing Support., , , , , , and . CD-MAKE, volume 14065 of Lecture Notes in Computer Science, page 301-318. Springer, (2023)Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO., , , , and . J. Data Intell., 3 (2): 252-277 (2022)Text Role Classification in Scientific Charts Using Multimodal Transformers., , and . CoRR, (2024)