🧑‍🔬 Who cites Kevin Wu

47 citations of their works from 47 papers of our library (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · ← Kevin Wu

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. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAConference on Empirical Methods in Natural Language Processing (EMNLP)Minzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 72 citations
3. A Reality Check on Context Utilisation for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, et al.2025 · 13 citations
4. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
5. Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.2025 · 6 citations
6. Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired DecodingFindings of the Association for Computational LinguisticsWeixu Zhang, Fanghua Ye, Qiang Gao, et al.2026 · 1 citation
7. Concept rather than Document: Context Compression via AMR-based Conceptual EntropyFindings of the Association for Computational LinguisticsKaize Shi, Xueyao Sun, Xiaohui Tao, et al.2026
8. CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor TrapsLanguage Resources and Evaluation Conference (LREC)Jungmin Yun, June Hyoung Kwon, Youngbin Kim2026
9. Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Heming Xia, Cunxiao Du, Rui Li, et al.2026
10. Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding DataAnnual Meeting of the Association for Computational Linguistics (ACL)Shiping Yang, Jie Wu, Wenbiao Ding, et al.2026

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

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