{"total":20,"rows":[{"id":"2202.10419","title":"Interpreting Language Models with Contrastive Explanations","created":"2022-02-21","cited_by_count":92,"area":null},{"id":"2109.07446","title":"When Does Translation Require Context? A Data-driven, Multilingual Exploration","created":"2021-09-15","cited_by_count":36,"area":null},{"id":"2310.12127","title":"A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation","created":"2023-10-18","cited_by_count":19,"area":null},{"id":"2210.10906","title":"A baseline revisited: Pushing the limits of multi-segment models for context-aware translation","created":"2022-10-19","cited_by_count":11,"area":null},{"id":"2305.13088","title":"Should We Attend More or Less? Modulating Attention for Fairness","created":"2023-05-22","cited_by_count":11,"area":null},{"id":"2412.17592","title":"Investigating Length Issues in Document-level Machine Translation","created":"2024-12-23","cited_by_count":10,"area":null},{"id":"2402.01404","title":"On Measuring Context Utilization in Document-Level MT Systems","created":"2024-02-02","cited_by_count":9,"area":null},{"id":"2310.01188","title":"Quantifying the Plausibility of Context Reliance in Neural Machine Translation","created":"2023-10-02","cited_by_count":7,"area":null},{"id":"2505.08546","title":"Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation","created":"2025-05-13","cited_by_count":7,"area":null},{"id":"2412.11187","title":"Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models","created":"2024-12-15","cited_by_count":4,"area":null},{"id":"2210.08431","title":"Modeling Context With Linear Attention for Scalable Document-Level Translation","created":"2022-10-16","cited_by_count":3,"area":null},{"id":"2310.14610","title":"That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?","created":"2023-10-23","cited_by_count":3,"area":null},{"id":"2509.14031","title":"You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models","created":"2025-09-17","cited_by_count":3,"area":null},{"id":"2402.01416","title":"Sequence Shortening for Context-Aware Machine Translation","created":"2024-02-02","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":"2312.11852","title":"Predicting Human Translation Difficulty with Neural Machine Translation","created":"2023-12-19","cited_by_count":1,"area":null},{"id":"2603.17952","title":"Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2606.29489","title":"Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2206.07587","title":"Cross-lingual AMR Aligner: Paying Attention to Cross-Attention","created":"2022-06-15","cited_by_count":0,"area":null},{"id":"2412.14829","title":"Mention Attention for Pronoun Translation","created":"2024-12-19","cited_by_count":0,"area":null}],"next_cursor":null}