🧑‍🔬 Who cites Xiao-Yang Liu

126 citations of their works from 126 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← Xiao-Yang Liu

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
3. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
4. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
5. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
6. Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Oded Ovadia, Menachem Brief, Moshik Mishaeli, et al.2024 · 206 citations
7. Large language models for education: A survey and outlookWang2024 · 101 citations
8. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128Yue Huang, Jiawen Shi, Yuan Li, et al.2023 · 81 citations
9. Leveraging Large Language Models for NLG Evaluation: Advances and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Li, Xiaohan Xu, Tao Shen, et al.2024 · 63 citations
10. Revolutionizing Finance with LLMs: An Overview of Applications and InsightsarXiv:2401.11641Huaqin Zhao, Zhengliang Liu, Zihao Wu, et al.2024 · 63 citations
11. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
12. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationarXiv:2308.02773Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.2023 · 58 citations
13. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
14. FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial DisclosureAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Zhang, Mingzi Song, Rania Elbadry, et al.2026 · 3 citations
15. MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical SkillsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zonghai Yao, Zihao Zhang, Chaolong Tang, et al.2026 · 3 citations
16. FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference BenchmarkingFindings of the Association for Computational LinguisticsJabez Magomere, Elena Kochkina, Samuel Mensah, et al.2025 · 3 citations
17. Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data OpportunitiesWorkshop on Generation, Evaluation and Metrics (GEM)Nikita Tatarinov, Siddhant Sukhani, Agam Shah, et al.2026 · 1 citation
18. Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent ParadigmsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinlin Wang2026 · 1 citation
19. Understanding Structured Financial Data with LLMs: A Case Study on Fraud DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xuwei Tan, Yao Ma, Xueru Zhang2026 · 1 citation
20. Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in FinanceLanguage Resources and Evaluation Conference (LREC)Kentaro Ueda, François Portet, Hirohiko Suwa, et al.2026
21. When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading PoliciesWorkshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or IndividualZhengzhe Yang2026

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