{"total":22,"rows":[{"id":"2310.05294","title":"Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus","created":"2023-10-08","cited_by_count":20,"area":null},{"id":"2407.04434","title":"From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs","created":"2024-07-05","cited_by_count":15,"area":null},{"id":"2410.00545","title":"What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study","created":"2024-10-01","cited_by_count":15,"area":null},{"id":"2402.06041","title":"A Prompt Response to the Demand for Automatic Gender-Neutral Translation","created":"2024-02-08","cited_by_count":12,"area":null},{"id":"2405.08477","title":"Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models","created":"2024-05-14","cited_by_count":7,"area":null},{"id":"2310.19345","title":"Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES","created":"2023-10-30","cited_by_count":6,"area":null},{"id":"2409.17929","title":"The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification","created":"2024-09-26","cited_by_count":5,"area":null},{"id":"2503.04372","title":"Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms","created":"2025-03-06","cited_by_count":5,"area":null},{"id":"2311.03767","title":"Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation","created":"2023-11-07","cited_by_count":4,"area":null},{"id":"2402.14277","title":"GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages","created":"2024-02-22","cited_by_count":4,"area":null},{"id":"2503.06792","title":"On the Mutual Influence of Gender and Occupation in LLM Representations","created":"2025-03-09","cited_by_count":4,"area":null},{"id":"2510.06841","title":"GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics","created":"2025-10-08","cited_by_count":4,"area":null},{"id":"2407.20438","title":"Generating Gender Alternatives in Machine Translation","created":"2024-07-29","cited_by_count":3,"area":null},{"id":"2506.09558","title":"Gender Bias in English-to-Greek Machine Translation","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2506.15676","title":"Gender-Neutral Machine Translation Strategies in Practice","created":"2025-06-18","cited_by_count":3,"area":null},{"id":"2509.26543","title":"The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2504.11934","title":"An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation","created":"2025-04-16","cited_by_count":2,"area":null},{"id":"2512.08440","title":"What Triggers my Model? Contrastive Explanations Inform Gender Choices by Translation Models","created":"2025-12-09","cited_by_count":2,"area":null},{"id":"2605.30717","title":"Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2502.11611","title":"Identifying Gender Stereotypes and Biases in Automated Translation from English to Italian using Similarity Networks","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2509.13480","title":"Gender-Neutral Rewriting in Italian: Models, Approaches, and Trade-offs","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2607.22546","title":"Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution","created":"2026-05-06","cited_by_count":0,"area":null}],"next_cursor":null}