🧑‍🔬 Who cites Xiaobao Wu

151 citations of their works from 146 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← Xiaobao Wu

1. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
2. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
3. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
4. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
5. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty QuantificationFindings of the Association for Computational LinguisticsEkaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.2024 · 96 citations
6. Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language ModelsFindings of the Association for Computational LinguisticsMiaoran Li, Baolin Peng, Michel Galley, et al.2024 · 87 citations
7. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form InputarXiv:2501.03200Alon Jacovi, Andrew Wang, Chris Alberti, et al.2025 · 32 citations
8. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
9. FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongzhan Lin, Yang Deng, Yuxuan Gu, et al.2025 · 15 citations
10. SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric KnowledgearXiv:2509.07968Lukas Haas, Gal Yona, Giovanni D'Antonio, et al.2025 · 12 citations
11. Piecing It All Together: Verifying Multi-Hop Multimodal ClaimsInternational Conference on Computational Linguistics (COLING)Haoran Wang, Aman Rangapur, Xiongxiao Xu, et al.2025 · 8 citations
12. KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Vítor Lourenço, Aline Paes, Tillman Weyde, et al.2026 · 2 citations
13. Beyond the Crowd: LLM-Augmented Community Notes for Governing Health MisinformationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaying Wu, Zihang Fu, Haonan Wang, et al.2026 · 1 citation
14. From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language ModelsFindings of the Association for Computational LinguisticsJiaxin Zhang, Wendi Cui, Zhuohang Li, et al.2026 · 1 citation
15. GAVEL: Evidence-Contract Debate with Mechanized Scrutiny for Provenance-Grounded Fact-CheckingFindings of the Association for Computational LinguisticsRuoyu Xu, Gaoxiang Li, Victor S. Sheng2026 · 1 citation
16. MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence RetrievalConference of the European Chapter of the Association for Computational Linguistics (EACL)Delvin Ce Zhang, Suhan Cui, Zhelin Chu, et al.2026 · 1 citation
17. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, et al.2026 · 1 citation
18. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationAnnual Meeting of the Association for Computational Linguistics (ACL)Terry Jingchen Zhang, Gopal Dev, Ning Wang, et al.2026 · 1 citation
19. Evidence Grounding vs. Memorization: Why Neural Semantics Matter for Knowledge Graph Fact VerificationFact Extraction and VERification Workshop (FEVER)Ankit Kumar Upadhyay, John S. Erickson, Deborah L. McGuinness2026
20. Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Ayan Sar, Pranav Singh Puri, Sumit Aich, et al.2026
21. Pushing the Frontiers of Scientific Fact-Checking: The SCINLP DatasetFindings of the Association for Computational LinguisticsIffat Maab, Junichi Yamagishi2026
22. ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, et al.2026

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