🧑‍🔬 Lucie Flek

🏛️ Affiliations

🎓University of BonnBonn · Germany2023–2026 · 31 paperscurrent🔬Bonn Aachen International Center for Information TechnologyBonn · Germany2023–2026 · 20 paperscurrent🔬Lamarr Institute for Machine Learning and Artificial IntelligenceSankt Augustin2024–2026 · 18 paperscurrent🎓Philipps University of MarburgMarburg · Germany2021–2024 · 32 papers🎓Technische Universität DarmstadtDarmstadt · Germany2014–2018 · 9 papers🔬Hessian Center for Artificial IntelligenceDarmstadt · Germany2022 · 4 papers🎓University of MichiganAnn Arbor · United States2025 · 2 papers🎓University of Applied Sciences MainzMainz · Germany2020–2021 · 2 papers🎓University of PennsylvaniaPhiladelphia · United States2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Perceived and Intended Sarcasm Detection with Graph Attention Networks (2021 · 18 citations)
   The paper argues that sarcasm detection should model the relationship between a writer and their audience, not only the wording of a post.
2. Perceived and Intended Sarcasm Detection with Graph Attention Networks (2021 · 11 citations)
   The paper argues that sarcasm detection should look beyond the post itself. The relationship between a writer and their audience, and the writer's own habits, also shape how sarcasm is used and read. The authors build a heterogeneous graph over the SPIRS Twitter corpus. Users and tweets are nodes, linked by three…
3. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains (2026)
   Vision-language models (VLMs) are rarely tested on structured diagrams, where meaning depends on symbols and the exact relations between them.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Perceived and Intended Sarcasm Detection with Graph Attention NetworksJoan Plepi, Lucie FlekFindings of the Association for Computational Linguistics · 18 citations
2. ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving · original ↗ · no summary yet · arXiv:2501.08203Zain Ul Abedin et al.2025 · 11 citations
3. Perceived and Intended Sarcasm Detection with Graph Attention NetworksJoan Plepi, Lucie FlekWorkshop on Noisy User-generated Text · 11 citations
4. Exploring Robustness of LLMs to Paraphrasing Based on Sociodemographic Factors · original ↗ · no summary yet · arXiv:2501.08276Pulkit Arora, Akbar Karimi, Lucie Flek2025 · 3 citations
5. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsDaniel Steinigen, Lucie Flek, Sebastian HoubenLanguage Resources and Evaluation Conference (LREC)

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Joan Plepi ×2

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2021
• Language Resources and Evaluation Conference (LREC): LREC 2026
• Workshop on Noisy User-generated Text: Workshop on Noisy User-generated Text 2021

🔗 Cited by

Papers of our library cite their works 20 times (of the 141,840 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 24 October 2026

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