🧑‍🔬 Who cites Marco Basaldella

133 citations of their works from 133 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Marco Basaldella

1. Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Fangyu Liu, Ivan Vulić, Anna Korhonen, et al.2021 · 147 citations
2. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
3. Coreference Resolution for the Biomedical Domain: A SurveyWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Pengcheng Lu, Massimo Poesio2021 · 17 citations
4. LoGU: Long-form Generation with Uncertainty ExpressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruihan Yang, Caiqi Zhang, Zhisong Zhang, et al.2025 · 13 citations
5. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
6. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, et al.2025 · 10 citations
7. Confidence Estimation for LLMs in Multi-turn InteractionsFindings of the Association for Computational LinguisticsCaiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.2026 · 7 citations
8. Demystifying Multi-Agent Debate: The Role of Confidence and DiversityFindings of the Association for Computational LinguisticsXiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.2026 · 6 citations
9. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
10. Explaining Sources of Uncertainty in Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Sun, Greta Warren, Irina Shklovski, et al.2026 · 3 citations
11. AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanran Luo, Wentao Qiu, Wanru Zhao, et al.2026 · 2 citations
12. QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)Journal of SoftwareShaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.2023 · 1 citation
13. CENT: Context Engineering Framework for Normalization of Clinical Trial ProceduresBioNLPSanya Taneja, Ziqing Ji, Hans Verstraete, et al.2026
14. Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and LinkingNatural Scientific Language Processing (NSLP) @ LRECNicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto, et al.2026
15. From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device TraceabilityAnnual Meeting of the Association for Computational Linguistics (ACL)Qingqing Yang, Haijiang Liu, Moyan Li2026
16. LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Caiqi Zhang, Xiaochen Zhu, Chengzu Li, et al.2026
17. MedCPI: A Construct–Personalize–Integrate Framework for KG-enhanced Clinical PredictionFindings of the Association for Computational LinguisticsHang Wang, Hang Dong, Lu Liu2026
18. MedNormJ: A Benchmark Dataset for Medical Concept Normalization in Japanese Clinical DocumentsWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECYuki Tashiro, Seiji Shimizu, Tomohiro Nishiyama, et al.2026

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