alexandru412 at MWE-2026 AdMIRe 2.0: Advancing Multimodal Idiomaticity Representation

Cristea Alexandru-Marian


Abstract
This paper presents the system developedby team alexandru412 for the AdMIRe 2.0Shared Task. We participated in the Text-Onlytrack, ranking images based on idiomatic us-age without accessing pixel data. Our approachcombines a strict list-wise ranking strategy withsystematic test-time augmentation. We fine-tuned a Large Language Model (LLM) on En-glish and Portuguese data and relied on zero-shot transfer for other languages. Our systemachieved the 3rd place in the Text-Only track.
Anthology ID:
2026.mwe-1.17
Volume:
Proceedings of the 22nd Workshop on Multiword Expressions (MWE 2026)
Month:
March
Year:
2026
Address:
Rabat, Marocco
Editors:
Atul Kr. Ojha, Verginica Barbu Mititelu, Mathieu Constant, Ivelina Stoyanova, A. Seza Doğruöz, Alexandre Rademaker
Venues:
MWE | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
139–143
Language:
URL:
https://aclanthology.org/2026.mwe-1.17/
DOI:
Bibkey:
Cite (ACL):
Cristea Alexandru-Marian. 2026. alexandru412 at MWE-2026 AdMIRe 2.0: Advancing Multimodal Idiomaticity Representation. In Proceedings of the 22nd Workshop on Multiword Expressions (MWE 2026), pages 139–143, Rabat, Marocco. Association for Computational Linguistics.
Cite (Informal):
alexandru412 at MWE-2026 AdMIRe 2.0: Advancing Multimodal Idiomaticity Representation (Alexandru-Marian, MWE 2026)
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PDF:
https://aclanthology.org/2026.mwe-1.17.pdf