Who cites «Multi-VALUE: A Framework for Cross-Dialectal English NLP»
- A Dialectal Corpus for Ukrainian: Collection, Classification, and Standardization — 2026 · Proceedings of the First Workshop on Dialects in NLP –- A Resource Perspective
- DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation — 2026 · arXiv:2607.07669
- DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English — 2026 · arXiv:2601.22888
- How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline — 2026 · arXiv:2604.04204
- Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts — 2026 · Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects
- LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering — 2026 · arXiv:2607.06845
- TeochewBench: A Human-Reviewed Benchmark for Teochew Hanzi Translation — 2026 · arXiv:2609.18156
- Yuliia Frund; Sina Ahmadi. A Dialectal Corpus for Ukrainian: Collection, Classification, and Standardization // DialRes 2026 Workshop — 2026 · DialRes 2026 Workshop
- A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art — 2025 · Transactions of the Association for Computational Linguistics
- Culture is Not Trivia: Sociocultural Theory for Cultural NLP — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation — 2025 · arXiv:2510.14949
- EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Evaluating Dialect Robustness of Language Models via Conversation Understanding — 2025 · Proceedings of the Second Workshop on Scaling Up Multilingual & Multi-Cultural Evaluation
- Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English — 2025 · arXiv:2503.12858
- Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English — 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association
- Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
- Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses — 2025 · arXiv:2511.23041
- Tokenization is Sensitive to Language Variation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties — 2025 · arXiv:2505.20875
- When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark — 2024 · Proceedings of the Third Workshop on NLP for Positive Impact
- DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English — 2024 · arXiv:2410.11216
- Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Language and Speech Technology for Central Kurdish Varieties — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Leveraging Syntactic Dependencies in Disambiguation: The Case of African American English — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Towards Equitable Natural Language Understanding Systems for Dialectal Cohorts: Debiasing Training Data — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Unintended Impacts of LLM Alignment on Global Representation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Can Large Language Models Transform Computational Social Science? — 2023 · arXiv:2305.03514
- DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules — our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Do ``English'' Named Entity Recognizers Work Well on Global Englishes? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- TADA : Task Agnostic Dialect Adapters for English — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Task-Agnostic Low-Rank Adapters for Unseen English Dialects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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