🧑‍🔬 Who cites Yuxuan Wan

74 citations of their works from 74 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← Yuxuan Wan

1. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateConference on Empirical Methods in Natural Language Processing (EMNLP)Tian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 651 citations
2. Exploring Human-Like Translation Strategy with Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Zhiwei He, Tian Liang, Wenxiang Jiao, et al.2024 · 207 citations
3. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
4. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
5. Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive EvaluationarXiv:2304.01746Tao Fang, Shu Yang, Kaixin Lan, et al.2023 · 145 citations
6. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsFindings of the Association for Computational LinguisticsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 136 citations
7. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, et al.2024 · 96 citations
8. Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Andrea Sottana, Bin Liang, Kai Zou, et al.2023 · 89 citations
9. Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error CorrectionarXiv:2303.14342Steven Coyne, Keisuke Sakaguchi, Diana Galvan-Sosa, et al.2023 · 81 citations
10. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
11. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
12. Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction TaskarXiv:2307.03972Fanyi Qu, Chenming Tang, Yunfang Wu2023 · 15 citations
13. Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error CorrectionPeerJ Computer ScienceAhlam Alrehili, Areej Alhothali2024 · 9 citations
14. Targeted Syntactic Evaluation for Grammatical Error CorrectionAomi Koyama, Masato Mita, Su-Youn Yoon, et al.2025 · 3 citations
15. WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Wang, Ce Zhang, Jun-Yu Ma, et al.2026 · 1 citation
16. ARWI: Arabic Write and ImproveProceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025)Kirill Chirkunov, Bashar Alhafni, Chatrine Qwaider, et al.2025 · 1 citation
17. Beyond Error Categories: A Contextual Approach of Evaluating Emerging Spell and Grammar CheckersSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesÞórunn Arnardóttir, Svanhvít Lilja Ingólfsdóttir, Haukur Barri Símonarson, et al.2024 · 1 citation
18. AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-JudgeAnnual Meeting of the Association for Computational Linguistics (ACL)Karen Zhou, Chenhao Tan2026
19. FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCsAnnual Meeting of the Association for Computational Linguistics (ACL)Bingkang Shi, Jen-tse Huang, Luo Long, et al.2026
20. Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Wang, Yuk-Kit Chan, Zixuan Ling, et al.2026
21. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
22. Russian Generative Spelling, Punctuation and Capitalization CorrectionLanguage Resources and Evaluation Conference (LREC)Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.2026
23. STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case StudyarXiv:2608.28614Wenjie Lou, Alaa Mamdouh Akef2026

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