Who cites «DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules»
- DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English — 2026 · arXiv:2601.22888
- 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
- Would LLMs be Good Historical Linguists and Chinese Dialect Learners? — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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
- Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art — 2025 · Transactions of the Association for Computational Linguistics
- Evaluating Dialect Robustness of Language Models via Conversation Understanding — 2025 · Proceedings of the Second Workshop on Scaling Up Multilingual & Multi-Cultural Evaluation
- 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)
- MC$^2$: Towards Transparent and Culturally-Aware NLP for Minority Languages in China — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Performance in a dialectal profiling task of LLMs for varieties of Brazilian Portuguese — 2024 · Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology
- Task-Agnostic Low-Rank Adapters for Unseen English Dialects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- liu-2024-confronting-llms-traditional-ml-rethinking
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/liu-2023-dada-dialect-adaptation-dynamic-aggregation/