Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution | Paper Citation Record

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This paper cites A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the G e NTE Corpus

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Interpreting Language Models with Contrastive Explanations

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution The elephant in the interpretability room:

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Inseq: An Interpretability Toolkit for Sequence Generation Models

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution A decade of gender bias in machine translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2024 , eprint=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Getting Gender Right in Neural Machine Translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution First the Worst: Finding Better Gender Translations During Beam Search

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2023 , eprint=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution https://aclanthology.org/2020.eamt-1.61/

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias and the Role of Context in Human Perception and Machine Translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Automatic detection of (potential) factors in the source text leading to gender bias in machine translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution James Murdoch and Chandan Singh and Karl Kumbier and Reza Abbasi-Asl and Bin Yu

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Contrastive Explanation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution and Garcke, Jochen , journal=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Interpretable Machine Learning , subtitle=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of The Fourth Widening Natural Language Processing Workshop , publisher=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution https://dl.acm.org/doi/10.5555/3157382.3157584

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias in Contextualized Word Embeddings

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the 5th Conference on Machine Translation (WMT) , publisher=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Collecting a

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gendered Technology in Translation and Interpreting , pages=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution g EN der- IT : An Annotated E nglish- I talian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with m G e NTE

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2025 , eprint=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender bias amplification during Speed-Quality optimization in Neural Machine Translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution M i TT en S : A Dataset for Evaluating Gender Mistranslation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Automatic Gender Identification and Reinflection in A rabic

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2023 , isbn =

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2025 , eprint=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias in Machine Translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Language (

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Context-Aware Neural Machine Translation Learns Anaphora Resolution

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Quantifying the

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Improving

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution , author=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Educational and psychological measurement , volume=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution You Shall Know a Word ' s Gender by the Company it Keeps: Comparing the Role of Context in Human Gender Assumptions with MT

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the AAAI Conference on Artificial Intelligence , author =

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution An Evaluation of the Human-Interpretability of Explanation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Contrastive

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution ACM Computing Surveys , author =

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLM s

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution N eu T ral R ewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution A Rewriting Approach for Gender Inclusivity in P ortuguese

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution and Cattoni, Roldano and Turchi, Marco

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Reducing

Reference 64

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics , volume=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution GAMBIT +: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing) , publisher=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT) , publisher=

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender bias and stereotypes in

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution and Casas, Noe , year =

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution MT - G en E val: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation

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Reference 73

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges

Reference 75

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Perspectives , author =

Reference 76

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Glitter: A Multi-Sentence, Multi-Reference Benchmark for Gender-Fair G erman Machine Translation

Reference 77

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Reference 78

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