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20162026
most citedIntegrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation

7 citations · 14 across the 17 of their papers we have counts for

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9 papers · 1 filter

cs.CL2026

Halluscoring 2026: The first shared task on llms hallucination detection and answer verification

Aisha Alansari, Abdessalam Bouchekif, Ahmed Hasanaath +9

We present HalluScoring 2026, a shared task for evaluating hallucination detection and factual verification in Arabic question answering under challenging generalization settings.…

cs.CL2026

HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification

Salah Eddine Bekhouche, Abdessalam Bouchekif, Hichem Telli +2

Large language models can generate fluent Arabic answers while introducing factual errors that are difficult to identify and verify. Existing Arabic hallucination resources often a…

cs.CL2026

HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering

Abdessalam Bouchekif, Mohammed-En-Nadhir Zighem, Salah Eddine Bekhouche +9

Large language models (LLMs) can generate fluent Arabic answers, yet factual errors remain difficult to detect, localize, explain, and verify. Existing hallucination benchmarks oft…

cs.CV2026

AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional Rectified Flow

Salah Eddine Bekhouche, Abdellah Zakaria Sellam, Fadi Dornaika +1

We present \textbf{AffectFlow-DINO}, a multi-task learning system for the 11th ABAW challenge that extends a standard deterministic architecture with a conditional rectified-flow h…

eess.IV2026

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring

Fadi Abdeladhim Zidi, Salah Eddine Bekhouche, Abdellah Zakaria Sellam +3

Accurate quantification of lung disease severity from chest imaging is critical for clinical decision-making and resource allocation. We propose a tri-modal deep learning framework…

cs.CV2026

RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation

Ahmed Marouane Djouamaa, Abir Belaala, Abdellah Zakaria Sellam +3

Accurate medical image segmentation requires both long-range contextual reasoning and precise boundary delineation, a task where existing transformer- and diffusion-based paradigms…

cs.CL2026

CVPD at QIAS 2026: RAG-Guided LLM Reasoning for Al-Mawarith Share Computation and Heir Allocation

Wassim Swaileh, Mohammed-En-Nadhir Zighem, Hichem Telli +4

Islamic inheritance (Ilm al-Mawarith) is a multi-stage legal reasoning task requiring the identification of eligible heirs, resolution of blocking rules (hajb), assignment of fixed…

cs.CV2026

Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognition

Salah Eddine Bekhouche, Hichem Telli, Azeddine Benlamoudi +3

Ambivalence and hesitancy (A/H) are subtle affective states where a person shows conflicting signals through different channels -- saying one thing while their face or voice tells…

cs.CV2026

VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image Classification

Abdellah Zakaria Sellam, Fadi Abdeladhim Zidi, Salah Eddine Bekhouche +4

Accurate classification of hyperspectral imagery (HSI) is often frustrated by the tension between high-dimensional spectral data and the extreme scarcity of labeled training sample…