@inproceedings{r-madasamy-2026-scalar,
title = "{SC}a{LAR}@{NITK} at {H}allu{S}coring-2026: A Reference-Free Generative Approach to Hallucination Detection via Teacher-Student Distillation",
author = "R, Anjali and
Madasamy, Anand Kumar",
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.144/",
pages = "1160--1164",
ISBN = "979-8-89176-497-2",
abstract = "Large language models (LLMs) produce fluent but factually incorrect outputs which become significant when such models are applied to local languages, such as Arabic, because of the language{'}s complex morphology, dialectal richness, and the insufficient material available for training and evaluation. The competition HalluScoring-2026 Track 1 aims to address these problems and consists of two tasks that demand hallucination detection in Arabic question-answering settings. To solve this issue, we transfer the knowledge of a powerful reference-based teacher that is a stacked ensemble of five fine-tuned encoder classifiers with dynamic lexical, embedding, and entailment characteristics onto a simpler reference-based student model."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="r-madasamy-2026-scalar">
<titleInfo>
<title>SCaLAR@NITK at HalluScoring-2026: A Reference-Free Generative Approach to Hallucination Detection via Teacher-Student Distillation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Anjali</namePart>
<namePart type="family">R</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Anand</namePart>
<namePart type="given">Kumar</namePart>
<namePart type="family">Madasamy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks</title>
</titleInfo>
<name type="personal">
<namePart type="given">Muhammad</namePart>
<namePart type="family">Abdul-Mageed</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tamer</namePart>
<namePart type="family">Elsayed</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Houda</namePart>
<namePart type="family">Bouamor</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Samhaa</namePart>
<namePart type="family">El-Beltagy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hend</namePart>
<namePart type="family">Al-Khalifa</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ahmed</namePart>
<namePart type="family">Abdelali</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">AbdelRahim</namePart>
<namePart type="family">Elmadany</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Abdellah</namePart>
<namePart type="family">El Mekki</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kareem</namePart>
<namePart type="family">Darwish</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sakhar</namePart>
<namePart type="family">Alkhereyf</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hamzah</namePart>
<namePart type="family">Luqman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Salam</namePart>
<namePart type="family">Khalifa</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Samar</namePart>
<namePart type="family">Magdy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Zaid</namePart>
<namePart type="family">Alyafeai</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Injy</namePart>
<namePart type="family">Hamed</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Wajdi</namePart>
<namePart type="family">Zaghouani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Imed</namePart>
<namePart type="family">Zitouni</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Budapest, Hungary</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-497-2</identifier>
</relatedItem>
<abstract>Large language models (LLMs) produce fluent but factually incorrect outputs which become significant when such models are applied to local languages, such as Arabic, because of the language’s complex morphology, dialectal richness, and the insufficient material available for training and evaluation. The competition HalluScoring-2026 Track 1 aims to address these problems and consists of two tasks that demand hallucination detection in Arabic question-answering settings. To solve this issue, we transfer the knowledge of a powerful reference-based teacher that is a stacked ensemble of five fine-tuned encoder classifiers with dynamic lexical, embedding, and entailment characteristics onto a simpler reference-based student model.</abstract>
<identifier type="citekey">r-madasamy-2026-scalar</identifier>
<location>
<url>https://aclanthology.org/2026.arabicnlp-sharedtasks.144/</url>
</location>
<part>
<date>2026-10</date>
<extent unit="page">
<start>1160</start>
<end>1164</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T SCaLAR@NITK at HalluScoring-2026: A Reference-Free Generative Approach to Hallucination Detection via Teacher-Student Distillation
%A R, Anjali
%A Madasamy, Anand Kumar
%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 r-madasamy-2026-scalar
%X Large language models (LLMs) produce fluent but factually incorrect outputs which become significant when such models are applied to local languages, such as Arabic, because of the language’s complex morphology, dialectal richness, and the insufficient material available for training and evaluation. The competition HalluScoring-2026 Track 1 aims to address these problems and consists of two tasks that demand hallucination detection in Arabic question-answering settings. To solve this issue, we transfer the knowledge of a powerful reference-based teacher that is a stacked ensemble of five fine-tuned encoder classifiers with dynamic lexical, embedding, and entailment characteristics onto a simpler reference-based student model.
%U https://aclanthology.org/2026.arabicnlp-sharedtasks.144/
%P 1160-1164
Markdown (Informal)
[SCaLAR@NITK at HalluScoring-2026: A Reference-Free Generative Approach to Hallucination Detection via Teacher-Student Distillation](https://aclanthology.org/2026.arabicnlp-sharedtasks.144/) (R & Madasamy, ArabicNLP 2026)
ACL