Ṣaqr at AISA-ArabicFC: What Actually Influences Arabic Function Calling?

Toka Khaled Abdelfattah, Eman Elrefai, Ahmed Soliman


Abstract
We describe Ṣaqr, ranked first on both scored tracks of the AISA-ArabicFC shared task on Arabic function calling, scoring 0.9279 on Track A and 0.9400 on Track B over a 1,125- instance blind test set. The system is deliber- ately plain: one Qwen3-4B model with LoRA, two epochs, provided data only. Our contri- bution is not the system but an accounting of where score comes from. We find that scale helped only up to a point in our single-run, cross-family comparison, and that the remain- ing gains came instead from inference-time de- cisions worth +0.0063 Overall A and +0.0223 Overall B (Appendix A) with no retraining. prefilling the reasoning trace so the model can- not skip it, and parsing arguments against the declared schema . We also report two proper- ties of the data that bound any system’s score: abstention is decidable from prompt structure without reading the query, and the gold anno- tation is self-inconsistent on precisely the slots that separate strong systems.
Anthology ID:
2026.arabicnlp-sharedtasks.209
Volume:
Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Muhammad Abdul-Mageed, Tamer Elsayed, Houda Bouamor, Samhaa El-Beltagy, Hend Al-Khalifa, Ahmed Abdelali, AbdelRahim Elmadany, Abdellah El Mekki, Kareem Darwish, Sakhar Alkhereyf, Hamzah Luqman, Salam Khalifa, Samar Magdy, Zaid Alyafeai, Injy Hamed, Wajdi Zaghouani, Imed Zitouni
Venue:
ArabicNLP
SIG:
SIGARAB
Publisher:
Association for Computational Linguistics
Note:
Pages:
1614–1620
Language:
URL:
https://aclanthology.org/2026.arabicnlp-sharedtasks.209/
DOI:
Bibkey:
Cite (ACL):
Toka Khaled Abdelfattah, Eman Elrefai, and Ahmed Soliman. 2026. Ṣaqr at AISA-ArabicFC: What Actually Influences Arabic Function Calling?. In Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks, pages 1614–1620, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
Ṣaqr at AISA-ArabicFC: What Actually Influences Arabic Function Calling? (Abdelfattah et al., ArabicNLP 2026)
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PDF:
https://aclanthology.org/2026.arabicnlp-sharedtasks.209.pdf