<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="sidaoui-2026-ags">
    <titleInfo>
        <title>AGS-KSU at QIAS 2026: A Comparative Study of Prompting and LLM Approaches for Structured Islamic Inheritance Reasoning</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Hicham</namePart>
        <namePart type="given">Ghazi</namePart>
        <namePart type="family">Sidaoui</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks</title>
        </titleInfo>
        <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">Mo</namePart>
            <namePart type="family">El-Haj</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Saad</namePart>
            <namePart type="family">Ezzini</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Palma, Mallorca (Spain)</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper describes our submission to the QIAS 2026 shared task on structured Islamic inheritance reasoning, based on the MAWARITH benchmark (Bouchekif et al., 2026). The task requires multi-step structured prediction for Arabic inheritance cases, including heir identification, blocking, share assignment, adjustment detection, and final distribution, evaluated with the MIR-E metric. We compare four system configurations: a QLoRA fine-tuned Qwen2.5-3B baseline, a multi-stage Fanar-Sadiq pipeline with deterministic validation and post-processing, and two GPT-5.4 prompting setups. On the official test set, the best result was achieved by GPT-5.4 with explicit inheritance rules and development examples used as in-context demonstrations, reaching a MIR-E score of 0.84, compared with 0.76 for a minimal-prompt GPT-5.4 variant. These results suggest that explicit rule conditioning and in-context demonstrations can improve performance in this setup. Since the compared systems vary in model family and prompting strategy, the findings should be interpreted as a comparison of task configurations rather than a controlled model-only comparison.</abstract>
    <identifier type="citekey">sidaoui-2026-ags</identifier>
    <identifier type="doi">10.63317/2irfqjkfpyyn</identifier>
    <location>
        <url>https://aclanthology.org/2026.osact-1.26/</url>
    </location>
    <part>
        <date>2026-05</date>
        <extent unit="page">
            <start>209</start>
            <end>212</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T AGS-KSU at QIAS 2026: A Comparative Study of Prompting and LLM Approaches for Structured Islamic Inheritance Reasoning
%A Sidaoui, Hicham Ghazi
%Y Al-Khalifa, Hend
%Y El-Haj, Mo
%Y Ezzini, Saad
%S The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks
%D 2026
%8 May
%I Association for Computational Linguistics
%C Palma, Mallorca (Spain)
%F sidaoui-2026-ags
%X This paper describes our submission to the QIAS 2026 shared task on structured Islamic inheritance reasoning, based on the MAWARITH benchmark (Bouchekif et al., 2026). The task requires multi-step structured prediction for Arabic inheritance cases, including heir identification, blocking, share assignment, adjustment detection, and final distribution, evaluated with the MIR-E metric. We compare four system configurations: a QLoRA fine-tuned Qwen2.5-3B baseline, a multi-stage Fanar-Sadiq pipeline with deterministic validation and post-processing, and two GPT-5.4 prompting setups. On the official test set, the best result was achieved by GPT-5.4 with explicit inheritance rules and development examples used as in-context demonstrations, reaching a MIR-E score of 0.84, compared with 0.76 for a minimal-prompt GPT-5.4 variant. These results suggest that explicit rule conditioning and in-context demonstrations can improve performance in this setup. Since the compared systems vary in model family and prompting strategy, the findings should be interpreted as a comparison of task configurations rather than a controlled model-only comparison.
%R 10.63317/2irfqjkfpyyn
%U https://aclanthology.org/2026.osact-1.26/
%U https://doi.org/10.63317/2irfqjkfpyyn
%P 209-212

Markdown (Informal)

[AGS-KSU at QIAS 2026: A Comparative Study of Prompting and LLM Approaches for Structured Islamic Inheritance Reasoning](https://aclanthology.org/2026.osact-1.26/) (Sidaoui, OSACT 2026)

• AGS-KSU at QIAS 2026: A Comparative Study of Prompting and LLM Approaches for Structured Islamic Inheritance Reasoning (Sidaoui, OSACT 2026)

ACL

• Hicham Ghazi Sidaoui. 2026. AGS-KSU at QIAS 2026: A Comparative Study of Prompting and LLM Approaches for Structured Islamic Inheritance Reasoning. In The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks, pages 209–212, Palma, Mallorca (Spain). Association for Computational Linguistics.