🧑‍🔬 Who cites Shuting Wang

38 citations of their works from 38 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← Shuting Wang

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 141 citations
3. OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Shuting Wang, Jiejun Tan, Zhicheng Dou, et al.2025 · 24 citations
4. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
5. Can Language Models Reason about Individualistic Human Values and Preferences?Annual Meeting of the Association for Computational Linguistics (ACL)Liwei Jiang, Taylor Sorensen, Sydney Levine, et al.2025 · 21 citations
6. Personalized Text Generation with Contrastive Activation SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghao Zhang, Yuting Liu, Wenjie Wang, et al.2025 · 13 citations
7. Latent Inter-User Difference Modeling for LLM PersonalizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, et al.2025 · 12 citations
8. P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic ChecklistAnnual Meeting of the Association for Computational Linguistics (ACL)Kwangwook Seo, Dongha Lee2026 · 1 citation
9. CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive FactorsFindings of the Association for Computational LinguisticsHang Su, Zequn Liu, Chen Hu, et al.2026
10. From Personal to Collective: On the Role of Local and Global Knowledge in LLM PersonalizationFindings of the Association for Computational LinguisticsZehong Wang, Junlin Wu, Zhaoxuan Tan, et al.2026
11. Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Xilai Ma, Liye Zhao, Weijun Yao, et al.2026

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

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