Image de couverture de livre

GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rarrick, Spencer, Naik, Ranjita, Poudel, Sundar, Chowdhary, Vishal
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity
par: Jourdan, Fanny, et autres
Publié: (2025)

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation
par: Limisiewicz, Tomasz, et autres
Publié: (2025)

Local Prompt Optimization
par: Jain, Yash, et autres
Publié: (2025)

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

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

Diversity of Thought Improves Reasoning Abilities of LLMs
par: Naik, Ranjita, et autres
Publié: (2023)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
par: Wang, Ze, et autres
Publié: (2024)

STaR-GATE: Teaching Language Models to Ask Clarifying Questions
par: Andukuri, Chinmaya, et autres
Publié: (2024)

Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan
par: Chatterjee, Ahan, et autres
Publié: (2026)

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
par: Zhang, Tao, et autres
Publié: (2024)

Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation
par: Conti, Lina, et autres
Publié: (2025)

GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
par: Tang, Kunsheng, et autres
Publié: (2024)

Effect of Gender Fair Job Description on Generative AI Images
par: Böckling, Finn, et autres
Publié: (2025)

ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages
par: Ghosh, Sourojit, et autres
Publié: (2023)

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

Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation
par: Prahallad, Lavanya, et autres
Publié: (2024)

Identifying Gender Stereotypes and Biases in Automated Translation from English to Italian using Similarity Networks
par: Mohammadi, Fatemeh, et autres
Publié: (2025)

Unveiling the "Fairness Seesaw": Discovering and Mitigating Gender and Race Bias in Vision-Language Models
par: Lan, Jian, et autres
Publié: (2025)

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
par: Yuksekgonul, Mert, et autres
Publié: (2023)

Locating and Mitigating Gender Bias in Large Language Models
par: Cai, Yuchen, et autres
Publié: (2024)

Gender Encoding Patterns in Pretrained Language Model Representations
par: Zakizadeh, Mahdi, et autres
Publié: (2025)

AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models
par: Lee, Jaeho, et autres
Publié: (2025)

Evaluation of Large Language Models: STEM education and Gender Stereotypes
par: Due, Smilla, et autres
Publié: (2024)

Gender Trouble in Language Models: An Empirical Audit Guided by Gender Performativity Theory
par: Hafner, Franziska Sofia, et autres
Publié: (2025)

Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
par: McMilin, Emily
Publié: (2022)

Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts
par: Pervez, Naseela, et autres
Publié: (2024)

Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context
par: Bartl, Marion, et autres
Publié: (2025)

Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models
par: Parihar, Shweta, et autres
Publié: (2026)

Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
par: Ngo, Trung Hieu, et autres
Publié: (2026)

Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models
par: Kumar, Shachi H, et autres
Publié: (2024)

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models
par: Qin, Zhanyue, et autres
Publié: (2025)

Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns
par: Pauli, Amalie Brogaard, et autres
Publié: (2026)

More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
par: Chen, Evan, et autres
Publié: (2025)

Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
par: Xu, Yue, et autres
Publié: (2025)

Gender Bias in LLM-generated Interview Responses
par: Kong, Haein, et autres
Publié: (2024)

Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
par: Ramasethu, Aishwarya, et autres
Publié: (2026)

DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning
par: Qiu, Hongye, et autres
Publié: (2025)

Yet another algorithmic bias: A Discursive Analysis of Large Language Models Reinforcing Dominant Discourses on Gender and Race
par: Bonil, Gustavo, et autres
Publié: (2025)

Popular LLMs Amplify Race and Gender Disparities in Human Mobility
par: Wu, Xinhua, et autres
Publié: (2024)

Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data
par: Kattamuri, Ashish, et autres
Publié: (2025)