I am a final year PhD candidate working in the Impresso II – Media Monitoring of the Past project under the supervision of Simon Clematide, Rico Sennrich and external supervision by Mrinmaya Sachan. My research focuses on the controlled evaluation of (cross-lingual) semantic search with multilingual embedding models on long, noisy, digitized texts.

• September 2023 - Now: PhD Candidate at the Department of Computational Linguistics, University of Zurich
• 2020 - 2023: MSc in Computing and Economics (90) and Data Science (30) at the University of Zurich
• 2017 - 2020 : BSc in Artificial Intelligence and Computer Science(180) at the University of Sheffield

• Andrianos Michail, Stylianos Psychias, Michelle Wastl, Simon Clematide, Rico Sennrich, Juri Opitz ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs. To appear in EMNLP2026

• Elias Schuhmacher*, Andrianos Michail*, Juri Opitz, Rico Sennrich, and Simon Clematide. Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias. In Findings of the Association for Computational Linguistics: ACL 2026, pp. 4996-5028, 2026.

• Juri Opitz*, Andrianos Michail*, Lucas Moeller, Sebastian Padó, and Simon Clematide. Similar, but why? A Toolkit for Explaining Text Similarity. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations), pp. 203-214, 2026.
• Andrianos Michail, Simon Clematide, and Rico Sennrich. Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples . In Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 2161-2170, 2025.
• Juri Opitz, Lucas Moeller, Andrianos Michail, Sebastian Padó, and Simon Clematide. Interpretable text embeddings and text similarity explanation: A survey. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 22314-22330, 2025.
• Hongji Li, Andrianos Michail, Reto Gubelmann, Simon Clematide, and Juri Opitz. Sentence Smith: Controllable Edits for Evaluating Text Embeddings. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 26439-26456, 2025.
• Andrianos Michail, Juri Opitz, Yining Wang, Robin Meister, Rico Sennrich, and Simon Clematide. 2025. Cheap Character Noise for OCR-Robust Multilingual Embeddings. In Findings of the Association for Computational Linguistics: ACL 2025, pp. 11705–11716, 2025
• Andrianos Michail, Corina Julia Raclé, Juri Opitz, and Simon Clematide. Adapting Multilingual Embedding Models to Historical Luxembourgish. In 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pp. 291-298, 2025.
• Andrianos Michail, Simon Clematide, and Juri Opitz. 2025. PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models. 
  In Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), pp.  8749–8762, 2025.

I do my best to actively support larger research initiatives. I have had the pleasure to contribute to the following initiatives:

ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents

Last Translation Benchmark (preprint)

HIPE 2026 – Evaluating Accurate and Efficient Person–Place Relation Extraction from Multilingual Historical Texts 

ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords (ACL 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark (ICLR2025)