---
title: "Who cites Yanchen Liu — 17 papers of our library"
description: "17 papers of the Elamur Research library cite the works of Yanchen Liu, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/yanchen-liu/cited-by/"
---
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# Who cites Yanchen Liu

21 citations of their works from 17 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← Yanchen Liu](https://md.research.elamur.ai/free/en/authors/yanchen-liu/)

1. **[Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/liu-2025-culturally-aware-adapted-nlp-taxonomy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen*2025 · 90 citations*
2. [**Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers arXiv:2404.04925**Libo Qin, Qiguang Chen, Yuhang Zhou, et al.*2024 · 75 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-multilingual-large-language-model-survey/)
3. **[Task-Agnostic Low-Rank Adapters for Unseen English Dialects](https://md.research.elamur.ai/free/en/papers/xiao-2023-task-agnostic-low-rank-adapters/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zedian Xiao, William Held, Yanchen Liu, et al.*2023 · 13 citations*
4. **[Evaluating Dialect Robustness of Language Models via Conversation Understanding](https://md.research.elamur.ai/free/en/papers/srirag-2025-evaluating-dialect-robustness-language-models/) [Workshop on Scaling Up Multilingual Evaluation](https://md.research.elamur.ai/free/en/venues/sumeval/)**Dipankar Srirag, Nihar Ranjan Sahoo, Aditya Joshi*2025 · 10 citations*
5. **[Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks](https://md.research.elamur.ai/free/en/papers/pan-2025-analyzing-dialectical-biases-llms-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Eileen Pan, Anna Seo Gyeong Choi, Maartje Ter Hoeve, et al.*2025 · 6 citations*
6. **[Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models](https://md.research.elamur.ai/free/en/papers/srirag-2025-predicting-target-word-game-playing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dipankar Srirag, Aditya Joshi, Jacob Eisenstein*2025 · 4 citations*
7. **[Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/maheshwari-2026-improving-dialect-robustness-large-language/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Sanjh Maheshwari, Aniket Singh Rajpoot, Oana Cocarascu, et al.*2026 · 1 citation*
8. [**Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English arXiv:2503.12858**Duke Nguyen, Aditya Joshi, Flora Salim*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-harnessing-test-time-adaptation-nlu/)
9. [**DialectLLM: A Dialect-Aware Dialogue Generation Framework Beyond Standard American English arXiv:2601.22888**Jio Oh, Paul Vicinanza, Thomas Butler, et al.*2026*](https://md.research.elamur.ai/free/en/papers/oh-2026-dialectllm-dialect-aware-dialog-ue/)
10. [**DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation arXiv:2607.07669**Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.*2026*](https://md.research.elamur.ai/free/en/papers/painter-2026-diallm-investigation-robustness-generation-gap/)
11. **[Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus](https://md.research.elamur.ai/free/en/papers/oberkircher-2026-saar-voice-multi-speaker-saarbrucken/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Lena Sophie Oberkircher, Jesujoba Alabi, Dietrich Klakow, et al.*2026*
12. **[Would LLMs be Good Historical Linguists and Chinese Dialect Learners?](https://md.research.elamur.ai/free/en/papers/liu-2026-would-llms-be-good-historical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yicheng Liu, Shumin Shi, Youchao Zhou, et al.*2026*

5 more citing papers of our library have no page here yet.

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