🧑‍🔬 Erkut Erdem

🏛️ Affiliations

🎓Hacettepe UniversityAnkara · Türkiye2011–2026 · 100 papersEmployment · Prof., Department Chair, Dept. of AI and Data Engineeringcurrent🎓Koç UniversityIstanbul · Türkiye2020–2026 · 10 paperscurrent🎓Middle East Technical UniversityAnkara · Türkiye2002–2016 · 7 papers🔬Laboratoire Traitement et Communication de l’InformationPalaiseau · France2009–2012 · 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.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions (2022 · 17 citations)
   The paper tests whether vision-language models can reason about causes and effects in physical interactions between objects.
2. DeVisE: Towards the Behavioral Testing of Medical Large Language Models (2026)
   Clinical decision-support evaluations of large language models usually report task accuracy. They do not show whether a model reasons about clinical variables or relies on spurious cues. DeVisE (Demographics and Vital signs Evaluation) addresses this with behavioral testing: it edits one patient attribute at a time…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetSemih Yagcioglu et al.2018 · 178 citations
2. CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractionsFindings of the Association for Computational LinguisticsTayfun Ates, M. Ateşoğlu, Çağatay Yiğit, et al.2022 · 17 citations
3. DeVisE: Towards the Behavioral Testing of Medical Large Language ModelsFindings of the Association for Computational LinguisticsCamila Zurdo Tagliabue, Heloisa Oss Boll, Aykut Erdem, et al.2026

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Aykut Erdem ×2
• Deniz Yuret
• Iacer Calixto

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 ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2022
• Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 1,279 times (of the 149,439 papers whose bibliographies we read); 386 citing papers with a page here →.

Updated 3 November 2026

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