--- title: "Who cites Marco Basaldella — 133 papers of our library" description: "133 papers of the Elamur Research library cite the works of Marco Basaldella, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/marco-basaldella/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/marco-basaldella/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Marco Basaldella](https://md.research.elamur.ai/free/en/authors/marco-basaldella/) / cited by # 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](https://md.research.elamur.ai/free/en/authors/marco-basaldella/) 1. **[Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders](https://md.research.elamur.ai/free/en/papers/liu-2021-fast-effective-self-supervised-transforming/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fangyu Liu, Ivan Vulić, Anna Korhonen, et al.*2021 · 147 citations* 2. **[Conformity in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2025-conformity-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.*2025 · 18 citations* 3. **[Coreference Resolution for the Biomedical Domain: A Survey](https://md.research.elamur.ai/free/en/papers/lu-2021-coreference-resolution-biomedical-domain-survey/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Pengcheng Lu, Massimo Poesio*2021 · 17 citations* 4. **[LoGU: Long-form Generation with Uncertainty Expressions](https://md.research.elamur.ai/free/en/papers/yang-2025-logu-long-form-generation-uncertainty/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruihan Yang, Caiqi Zhang, Zhisong Zhang, et al.*2025 · 13 citations* 5. **[Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations](https://md.research.elamur.ai/free/en/papers/ji-2025-calibrating-verbal-uncertainty-as-linear/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.*2025 · 11 citations* 6. **[Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models](https://md.research.elamur.ai/free/en/papers/vazhentsev-2025-unconditional-truthfulness-learning-unconditional-uncertainty/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, et al.*2025 · 10 citations* 7. **[Confidence Estimation for LLMs in Multi-turn Interactions](https://md.research.elamur.ai/free/en/papers/zhang-2026-confidence-estimation-llms-multi-turn/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.*2026 · 7 citations* 8. **[Demystifying Multi-Agent Debate: The Role of Confidence and Diversity](https://md.research.elamur.ai/free/en/papers/zhu-2026-demystifying-multi-agent-debate-role/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.*2026 · 6 citations* 9. [**Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence arXiv:2503.14749**Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/hager-2025-uncertainty-distillation-teaching-language-models/) 10. **[Explaining Sources of Uncertainty in Automated Fact-Checking](https://md.research.elamur.ai/free/en/papers/sun-2026-explaining-sources-uncertainty-automated-fact/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Generation](https://md.research.elamur.ai/free/en/papers/luo-2026-agsc-adaptive-granularity-semantic-clustering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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)](https://md.research.elamur.ai/free/en/papers/qiao-2023-qa-kgnet-language/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Shaojie 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 Procedures](https://md.research.elamur.ai/free/en/papers/taneja-2026-cent-context-engineering-framework-normalization/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Sanya Taneja, Ziqing Ji, Hans Verstraete, et al.*2026* 14. **[Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and Linking](https://md.research.elamur.ai/free/en/papers/silva-2026-enhancing-scholarly-knowledge-graphs-domain/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto, et al.*2026* 15. **[From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability](https://md.research.elamur.ai/free/en/papers/yang-2026-regulatory-approvals-patents-cross-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingqing Yang, Haijiang Liu, Moyan Li*2026* 16. **[LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-lovec-reinforcement-learning-better-verbalized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Caiqi Zhang, Xiaochen Zhu, Chengzu Li, et al.*2026* 17. **[MedCPI: A Construct–Personalize–Integrate Framework for KG-enhanced Clinical Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-medcpi-construct-personalize-integrate-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hang Wang, Hang Dong, Lu Liu*2026* 18. **[MedNormJ: A Benchmark Dataset for Medical Concept Normalization in Japanese Clinical Documents](https://md.research.elamur.ai/free/en/papers/tashiro-2026-mednormj-benchmark-dataset-medical-concept/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Yuki Tashiro, Seiji Shimizu, Tomohiro Nishiyama, et al.*2026* 115 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/marco-basaldella/) — Marco Basaldella