--- title: "Who cites Sebastian Neumaier — 110 papers of our library" description: "110 papers of the Elamur Research library cite the works of Sebastian Neumaier, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/sebastian-neumaier/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sebastian-neumaier/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Sebastian Neumaier](https://md.research.elamur.ai/free/en/authors/sebastian-neumaier/) / cited by # Who cites Sebastian Neumaier 110 citations of their works from 110 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← Sebastian Neumaier](https://md.research.elamur.ai/free/en/authors/sebastian-neumaier/) 1. **[Extracting Cultural Commonsense Knowledge at Scale](https://md.research.elamur.ai/free/en/papers/nguyen-2022-extracting-cultural-commonsense-knowledge-scale/) [ACM Web Conference (WWW)](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/)**Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, et al.*2022 · 90 citations* 2. **[KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/li-2024-knowcoder-coding-structured-knowledge-into/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Li, Yutao Zeng, Yuxin Zuo, et al.*2024 · 68 citations* 3. [**BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science arXiv:2407.00466**Xinna Lin, Siqi Ma, Junjie Shan, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-biokgbench-knowledge-graph-checking-benchmark/) 4. [**Survey on English Entity Linking on Wikidata arXiv:2112.01989**Cedric Möller, Jens Lehmann, Ricardo Usbeck*2021 · 10 citations*](https://md.research.elamur.ai/free/en/papers/moller-2021-survey-english-entity-linking-wikidata/) 5. **[A Novel Synthetic Dataset for Few-Shot Legal Relation Extraction in German](https://md.research.elamur.ai/free/en/papers/nouri-2026-novel-synthetic-dataset-few-shot/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shiva Banasaz Nouri, Elena Leitner, Julian Moreno-Schneider, et al.*2026* 6. **[Adaptive Text2GQL: Integrating Structural Twig Linking and Evolutionary In-Context Learning](https://md.research.elamur.ai/free/en/papers/niu-2026-adaptive-text2gql-integrating-structural-twig/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fang Niu, Chaokun Wang, Hang Zhang, et al.*2026* 7. **[Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhou-2026-capability-decomposition-unified-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Zhou, Peng Wang, Wenjun Ke, et al.*2026* 8. **[Formalizing the DATASUS RTS: An Ontological Model for a Resource Description Framework Knowledge Graph](https://md.research.elamur.ai/free/en/papers/pires-2026-formalizing-datasus-rts-ontological-model/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Vitor Pires, Dalvan Griebler, Felipe Meneguzzi*2026* 9. **[Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains](https://md.research.elamur.ai/free/en/papers/yuan-2026-knowledge-verification-exploring-rlvr-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhonghang Yuan, Zhefan Wang, Fang Hu, et al.*2026* 10. **[LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet Extraction](https://md.research.elamur.ai/free/en/papers/pommeret-2026-llm-based-atomic-propositions-help/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Luc Pommeret, Thomas Gerald, Patrick Paroubek, et al.*2026* 11. **[PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning](https://md.research.elamur.ai/free/en/papers/liu-2026-pretrainrl-alleviating-factuality-hallucination-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Langming Liu, Kangtao Lv, Haibin Chen, et al.*2026* 12. **[Thesis Proposal: On the Granularity-Robustness Trade-off in Text-Derived Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pralomram-2026-thesis-proposal-granularity-robustness-trade/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Surawat Pralomram*2026* 98 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/sebastian-neumaier/) — Sebastian Neumaier