Image de couverture de livre

Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Manna, Chiara, Alishahi, Afra, Blain, Frédéric, Vanmassenhove, Eva
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures
par: Manna, Chiara, et autres
Publié: (2026)

Gender Bias in Machine Translation and The Era of Large Language Models
par: Vanmassenhove, Eva
Publié: (2024)

Is She Even Relevant? When BERT Ignores Explicit Gender Cues
par: Klein, Jonas, et autres
Publié: (2026)

ConGA: Guidelines for Contextual Gender Annotation. A Framework for Annotating Gender in Machine Translation
par: Rescigno, Argentina Anna, et autres
Publié: (2026)

Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs
par: Vanmassenhove, Eva
Publié: (2025)

A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity
par: Pouw, Charlotte, et autres
Publié: (2025)

How Language Models Prioritize Contextual Grammatical Cues?
par: Amirzadeh, Hamidreza, et autres
Publié: (2024)

Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models
par: Mąka, Paweł, et autres
Publié: (2024)

Don't Pay Attention
par: Hammoud, Mohammad, et autres
Publié: (2025)

In-Context Learning in Speech Language Models: Analyzing the Role of Acoustic Features, Linguistic Structure, and Induction Heads
par: Pouw, Charlotte, et autres
Publié: (2026)

Pay Attention to What Matters
par: Silva, Pedro Luiz, et autres
Publié: (2024)

Perception of Phonological Assimilation by Neural Speech Recognition Models
par: Pouw, Charlotte, et autres
Publié: (2024)

Paying Attention to Facts: Quantifying the Knowledge Capacity of Attention Layers
par: Wong, Liang Ze
Publié: (2025)

Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank
par: Roy, Debjyoti Saha, et autres
Publié: (2024)

Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model
par: Zhang, Hongbin, et autres
Publié: (2024)

Investigating Markers and Drivers of Gender Bias in Machine Translations
par: Barclay, Peter J, et autres
Publié: (2024)

On the reliability of feature attribution methods for speech classification
par: Shen, Gaofei, et autres
Publié: (2025)

Encoding of lexical tone in self-supervised models of spoken language
par: Shen, Gaofei, et autres
Publié: (2024)

Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe
par: Shen, Gaofei, et autres
Publié: (2026)

What do Large Language Models Need for Machine Translation Evaluation?
par: Qian, Shenbin, et autres
Publié: (2024)

Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension
par: Wu, Yulong, et autres
Publié: (2025)

Efficient Machine Translation with a BiLSTM-Attention Approach
par: Wu, Yuxu, et autres
Publié: (2024)

Pay Attention to What You Need
par: Gao, Yifei, et autres
Publié: (2023)

Mention Attention for Pronoun Translation
par: Tang, Gongbo, et autres
Publié: (2024)

Disentangling Textual and Acoustic Features of Neural Speech Representations
par: Mohebbi, Hosein, et autres
Publié: (2024)

Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
par: Zhuang, Xialie, et autres
Publié: (2025)

Attention Mechanism and Context Modeling System for Text Mining Machine Translation
par: Zhang, Yuwei, et autres
Publié: (2024)

Focus Directions Make Your Language Models Pay More Attention to Relevant Contexts
par: Zhu, Youxiang, et autres
Publié: (2025)

Gender Bias in English-to-Greek Machine Translation
par: Gkovedarou, Eleni, et autres
Publié: (2025)

Gender-Neutral Machine Translation Strategies in Practice
par: Dawkins, Hillary, et autres
Publié: (2025)

DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation
par: Man, Zhibo, et autres
Publié: (2025)

Pay Less Attention to Function Words for Free Robustness of Vision-Language Models
par: Tian, Qiwei, et autres
Publié: (2025)

Attention Sinks in Massively Multilingual Neural Machine Translation:Discovery, Analysis, and Mitigation
par: Mutisya, Hillary, et autres
Publié: (2026)

Pay More Attention To Audio: Mitigating Imbalance of Cross-Modal Attention in Large Audio Language Models
par: Wang, Junyu, et autres
Publié: (2025)

Generating Gender Alternatives in Machine Translation
par: Garg, Sarthak, et autres
Publié: (2024)

Gender-specific Machine Translation with Large Language Models
par: Sánchez, Eduardo, et autres
Publié: (2023)

Using Language Models to Disambiguate Lexical Choices in Translation
par: Barua, Josh, et autres
Publié: (2024)

PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model
par: Arif, Kazi Hasan Ibn, et autres
Publié: (2025)

GOSt-MT: A Knowledge Graph for Occupation-related Gender Biases in Machine Translation
par: Mastromichalakis, Orfeas Menis, et autres
Publié: (2024)

Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
par: Mastromichalakis, Orfeas Menis, et autres
Publié: (2025)