@inproceedings{zakaria-sellam-etal-2026-vescera,
title = "Vescera at {H}allu{S}coring 2026: Privileged-Information Distillation with Contrastive Representation Alignment for {A}rabic Hallucination Detection",
author = "Zakaria Sellam, Abdellah and
Djouama, Ahmed Marouane and
Benaissa, Ilyes and
Zidi, Fadi Abdeladhim and
Kerkouri, Mohamed Amine and
Tliba, Marouane and
Chetouani, Aladine",
editor = "Abdul-Mageed, Muhammad and
Elsayed, Tamer and
Bouamor, Houda and
El-Beltagy, Samhaa and
Al-Khalifa, Hend and
Abdelali, Ahmed and
Elmadany, AbdelRahim and
El Mekki, Abdellah and
Darwish, Kareem and
Alkhereyf, Sakhar and
Luqman, Hamzah and
Khalifa, Salam and
Magdy, Samar and
Alyafeai, Zaid and
Hamed, Injy and
Zaghouani, Wajdi and
Zitouni, Imed",
booktitle = "Proceedings of The Fourth {A}rabic Natural Language Processing Conference: Shared Tasks",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.arabicnlp-sharedtasks.139/",
pages = "1126--1130",
ISBN = "979-8-89176-497-2",
abstract = "HalluScoring 2026 Subtask 2.2 (Hallucination Detection {\&} Find the Truth) requires systems to judge whether an Arabic generated answer is hallucinated and to select the correct one among six candidates, without access to the reference answer that would make both judgments trivial. We treat that withheld reference as privileged information: a teacher is fine-tuned with it in the prompt, then never deployed, and its advantage is transferred to a blind student through two channels knowledge distillation over the teacher{'}s output distribution, and a contrastive privileged-information (CPI) term that aligns the student{'}s hidden representation with the teacher{'}s gold-conditioned one. Our fine-tuned ALLaM-7B attains 84.62 combined score (Comb) on the official test set and 83.47 on the dev set."
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<namePart type="family">Abdul-Mageed</namePart>
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<namePart type="given">Hend</namePart>
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<abstract>HalluScoring 2026 Subtask 2.2 (Hallucination Detection & Find the Truth) requires systems to judge whether an Arabic generated answer is hallucinated and to select the correct one among six candidates, without access to the reference answer that would make both judgments trivial. We treat that withheld reference as privileged information: a teacher is fine-tuned with it in the prompt, then never deployed, and its advantage is transferred to a blind student through two channels knowledge distillation over the teacher’s output distribution, and a contrastive privileged-information (CPI) term that aligns the student’s hidden representation with the teacher’s gold-conditioned one. Our fine-tuned ALLaM-7B attains 84.62 combined score (Comb) on the official test set and 83.47 on the dev set.</abstract>
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%0 Conference Proceedings
%T Vescera at HalluScoring 2026: Privileged-Information Distillation with Contrastive Representation Alignment for Arabic Hallucination Detection
%A Zakaria Sellam, Abdellah
%A Djouama, Ahmed Marouane
%A Benaissa, Ilyes
%A Zidi, Fadi Abdeladhim
%A Kerkouri, Mohamed Amine
%A Tliba, Marouane
%A Chetouani, Aladine
%Y Abdul-Mageed, Muhammad
%Y Elsayed, Tamer
%Y Bouamor, Houda
%Y El-Beltagy, Samhaa
%Y Al-Khalifa, Hend
%Y Abdelali, Ahmed
%Y Elmadany, AbdelRahim
%Y El Mekki, Abdellah
%Y Darwish, Kareem
%Y Alkhereyf, Sakhar
%Y Luqman, Hamzah
%Y Khalifa, Salam
%Y Magdy, Samar
%Y Alyafeai, Zaid
%Y Hamed, Injy
%Y Zaghouani, Wajdi
%Y Zitouni, Imed
%S Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-497-2
%F zakaria-sellam-etal-2026-vescera
%X HalluScoring 2026 Subtask 2.2 (Hallucination Detection & Find the Truth) requires systems to judge whether an Arabic generated answer is hallucinated and to select the correct one among six candidates, without access to the reference answer that would make both judgments trivial. We treat that withheld reference as privileged information: a teacher is fine-tuned with it in the prompt, then never deployed, and its advantage is transferred to a blind student through two channels knowledge distillation over the teacher’s output distribution, and a contrastive privileged-information (CPI) term that aligns the student’s hidden representation with the teacher’s gold-conditioned one. Our fine-tuned ALLaM-7B attains 84.62 combined score (Comb) on the official test set and 83.47 on the dev set.
%U https://aclanthology.org/2026.arabicnlp-sharedtasks.139/
%P 1126-1130
Markdown (Informal)
[Vescera at HalluScoring 2026: Privileged-Information Distillation with Contrastive Representation Alignment for Arabic Hallucination Detection](https://aclanthology.org/2026.arabicnlp-sharedtasks.139/) (Zakaria Sellam et al., ArabicNLP 2026)
ACL