Rongwu Xu
Rongwu Xu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Question answering; often with Wei Hong Xu, Zehan Qi, Zhijiang Guo.
OpenAlex · h-index 3 · 15 works · 121 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 160 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5792
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workQuestion answering · 1 work
Works by year
2020s
Papers
- Knowledge Conflicts for LLMs: A Survey (2024 · 182 citations)
This survey examines a recurring problem in large language models: the knowledge stored in a model's weights can disagree with information supplied at inference time, and supplied sources can disagree with each other. - DebateQA: Evaluating Question Answering on Debatable Knowledge (2026 · 7 citations)
Standard QA benchmarks assume one correct answer, so they cannot judge how chatbots handle contested questions such as how crop circles form.
All works
- Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
- The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation ↗arXiv:2312.09085 · no summary yetRongwu Xu et al.2023 · 56 citations
- DebateQA: Evaluating Question Answering on Debatable KnowledgeFindings of the Association for Computational LinguisticsRongwu Xu, Xuan Qi, Zehan Qi, et al.2026 · 7 citations
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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