collaborators

8 papers

cs.CL2026

Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation

Yasser Hamidullah, Koel Dutta Chowdhury, Yusser Al Ghussin +4

Hallucination, where models generate fluent text unsupported by visual evidence, remains a major flaw in vision-language models and is particularly critical in sign language transl…

cs.CL2026

DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge

Yusser Al Ghussin, Daniil Gurgurov, Yasser Hamidullah +3

Large language models (LLMs) are increasingly used across diverse linguistic and cultural contexts, yet their cultural knowledge remains uneven across regions and languages. We pre…

cs.AI2026

DualFact+: A Multimodal Fact Verification Framework for Procedural Video Understanding

Cennet Oguz, Yasser Hamidullah, Josef van Genabith +1

We introduce DualFact, a dual-layer, multimodal factuality evaluation framework for procedural video captioning. DualFact separates factual correctness into conceptual facts, captu…

cs.CL2025

A Critical Study of Automatic Evaluation in Sign Language Translation

Shakib Yazdani, Yasser Hamidullah, Cristina España-Bonet +2

Automatic evaluation metrics are crucial for advancing sign language translation (SLT). Current SLT evaluation metrics, such as BLEU and ROUGE, are only text-based, and it remains…

cs.CL2025

Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media

Shakib Yazdani, Yasser Hamidullah, Cristina España-Bonet +1

Most existing sign language translation (SLT) datasets are limited in scale, lack multilingual coverage, and are costly to curate due to their reliance on expert annotation and con…

cs.CL2025

Spatio-temporal Sign Language Representation and Translation

Yasser Hamidullah, Josef van Genabith, Cristina España-Bonet

This paper describes the DFKI-MLT submission to the WMT-SLT 2022 sign language translation (SLT) task from Swiss German Sign Language (video) into German (text). State-of-the-art t…