{"total":36,"rows":[{"id":"2104.06001","title":"Gender Bias in Machine Translation","created":"2021-04-13","cited_by_count":117,"area":null},{"id":"2307.06908","title":"Generating Benchmarks for Factuality Evaluation of Language Models","created":"2023-07-13","cited_by_count":105,"area":null},{"id":"2104.08646","title":"Competency Problems: On Finding and Removing Artifacts in Language Data","created":"2021-04-17","cited_by_count":91,"area":null},{"id":"2205.12411","title":"Linear Connectivity Reveals Generalization Strategies","created":"2022-05-24","cited_by_count":56,"area":null},{"id":"2110.08191","title":"Why don't people use character-level machine translation?","created":"2021-10-15","cited_by_count":27,"area":null},{"id":"2210.12814","title":"RuCoLA: Russian Corpus of Linguistic Acceptability","created":"2022-10-23","cited_by_count":26,"area":null},{"id":"2212.10140","title":"Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation","created":"2022-12-20","cited_by_count":26,"area":null},{"id":"2203.09866","title":"Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation","created":"2022-03-18","cited_by_count":23,"area":null},{"id":"2211.11109","title":"Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness","created":"2022-11-20","cited_by_count":21,"area":null},{"id":"2205.09630","title":"Acceptability Judgements via Examining the Topology of Attention Maps","created":"2022-05-19","cited_by_count":19,"area":null},{"id":"2208.07316","title":"MENLI: Robust Evaluation Metrics from Natural Language Inference","created":"2022-08-15","cited_by_count":18,"area":null},{"id":"2109.07465","title":"On the Limits of Minimal Pairs in Contrastive Evaluation","created":"2021-09-15","cited_by_count":15,"area":null},{"id":"2302.14220","title":"Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation","created":"2023-02-28","cited_by_count":15,"area":null},{"id":"2104.06400","title":"Mediators in Determining what Processing BERT Performs First","created":"2021-04-13","cited_by_count":14,"area":null},{"id":"2410.24019","title":"Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?","created":"2024-10-31","cited_by_count":13,"area":null},{"id":"2102.06558","title":"Continuous Learning in Neural Machine Translation using Bilingual Dictionaries","created":"2021-02-12","cited_by_count":11,"area":null},{"id":"2105.13782","title":"How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation","created":"2021-05-28","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":"2410.16069","title":"Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context","created":"2024-10-21","cited_by_count":11,"area":null},{"id":"2406.19223","title":"T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings","created":"2024-06-27","cited_by_count":10,"area":null},{"id":"2103.16590","title":"Evaluating the Morphosyntactic Well-formedness of Generated Texts","created":"2021-03-30","cited_by_count":8,"area":null},{"id":"2109.01100","title":"How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?","created":"2021-09-02","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":"2107.12203","title":"Revisiting Negation in Neural Machine Translation","created":"2021-07-26","cited_by_count":6,"area":null},{"id":"2209.07611","title":"Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties","created":"2022-09-15","cited_by_count":6,"area":null},{"id":"2103.04225","title":"Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked Settings","created":"2021-03-07","cited_by_count":5,"area":null},{"id":"2402.00632","title":"Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases","created":"2024-02-01","cited_by_count":5,"area":null},{"id":"2504.17311","title":"FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation","created":"2025-04-24","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":"2109.12105","title":"Faithful Target Attribute Prediction in Neural Machine Translation","created":"2021-09-24","cited_by_count":2,"area":null},{"id":"2302.08464","title":"Evaluating and Improving the Coreference Capabilities of Machine Translation Models","created":"2023-02-16","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":"2106.00745","title":"Part of Speech and Universal Dependency effects on English Arabic Machine Translation","created":"2021-06-01","cited_by_count":1,"area":null},{"id":"2203.13550","title":"Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies","created":"2022-03-25","cited_by_count":1,"area":null},{"id":"2412.14829","title":"Mention Attention for Pronoun Translation","created":"2024-12-19","cited_by_count":0,"area":null},{"id":"2604.27232","title":"Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}