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2020 – today
- 2024
[b1]Anja Reusch:
Transformer-Encoders for Mathematical Answer Retrieval. Dresden University of Technology, Germany, 2024- [c12]Anja Reusch, Guilherme C. Lopes, Wilhelm Pertsch, Hannes Ueck, Julius Gonsior, Wolfgang Lehner:
Selma: A Semantic Local Code Search Platform. ECIR (5) 2024: 218-222 - [c11]Anja Reusch
, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner:
Investigating the Usage of Formulae in Mathematical Answer Retrieval. ECIR (1) 2024: 247-261 - [c10]Linda Erben, Maria Hampel, Malte-Christian Kuns, Vincent Melisch, Per Natzschka, Wilhelm Pertsch, Lina Razouk, Reiner Stolle, Robert Thomas Thoss, Tuan Giang Trinh, Julius Gonsior, Anja Reusch:
Assembling four Open Web Search Components: TU Dresden at WOWS 2024. WOWS@ECIR 2024: 73-93 - [i2]Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov:
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics. CoRR abs/2410.21272 (2024) - 2023
- [c9]Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner:
Comparing and Improving Active Learning Uncertainty Measures for Transformer Models. ADBIS 2023: 119-132 - [c8]Christian Falkenberg, Erik Schönwälder, Tom Rietzke, Chris-Andris Görner, Robert Walther, Julius Gonsior, Anja Reusch:
Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation. SemEval@ACL 2023: 88-93 - [c7]Simon Birkenheuer, Jonathan Drechsel, Paul Justen, Jimmy Phlmann, Julius Gonsior, Anja Reusch:
Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling! SemEval@ACL 2023: 969-977 - 2022
- [c6]Anja Reusch, Maik Thiele, Wolfgang Lehner:
Transformer-Encoder and Decoder Models for Questions on Math. CLEF (Working Notes) 2022: 119-137 - [c5]Anja Reusch, Maik Thiele, Wolfgang Lehner:
Transformer-Encoder-Based Mathematical Information Retrieval. CLEF 2022: 175-189 - [c4]Anja Reusch:
Pre-Training for Mathematics-Aware Retrieval. SIGIR 2022: 3496 - [i1]Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Maik Thiele, Wolfgang Lehner:
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models. CoRR abs/2210.03005 (2022) - 2021
- [c3]Anja Reusch, Maik Thiele, Wolfgang Lehner:
TU_DBS in the ARQMath Lab 2021, CLEF. CLEF (Working Notes) 2021: 107-124 - [c2]Anja Reusch, Alexander Weber, Maik Thiele, Wolfgang Lehner:
RecipeGM: A Hierarchical Recipe Generation Model. ICDE Workshops 2021: 24-29 - [c1]Anja Reusch, Maik Thiele, Wolfgang Lehner:
An ALBERT-based Similarity Measure for Mathematical Answer Retrieval. SIGIR 2021: 1593-1597
Coauthor Index
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