3 citations · 3 across the 6 of their papers we have counts for
6 papers
Benchmarking Gender Bias in Machine Translation Evaluation Metrics across Occupations
Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Wafaa Mohammed +2
Gender bias remains a persistent concern in machine translation (MT), affecting both generated translations and their automatic evaluation. When a source text leaves a person's gen…
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva
Large language models (LLMs) have emerged as strong contenders in machine translation.Yet, they still struggle to adequately handle discourse phenomena, such as pronoun resolution…
GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics
Giorgos Filandrianos, Orfeas Menis Mastromichalakis, Wafaa Mohammed +2
Gender bias in machine translation (MT) systems has been extensively documented, but bias in automatic quality estimation (QE) metrics remains comparatively underexplored. Existing…
How Well Do Vision-Language Models Understand Movies?
Emmanouil Zaranis, António Farinhas, Saul Santos +28
Vision-language models (VLMs) can increasingly handle extended contexts and answer questions about long videos--but can they understand the narrative structure of movies as humans…
Visual Grounding of Inter-lingual Word-Embeddings
Wafaa Mohammed, Hassan Shahmohammadi, Hendrik P. A. Lensch +1
Visual grounding of Language aims at enriching textual representations of language with multiple sources of visual knowledge such as images and videos. Although visual grounding is…
Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets
Yousef Altaher, Ali Fadel, Mazen Alotaibi +18
Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challe…