--- title: "Who cites Structured information extraction — 69 citing papers" description: "69 papers of the Elamur Research library cite «Structured information extraction from scientific text with large language models», found in their…" canonical: "https://research.elamur.ai/free/en/papers/dagdelen-2024-structured-information-extraction-scientific-text/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/dagdelen-2024-structured-information-extraction-scientific-text/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Structured information extraction from scientific…](https://md.research.elamur.ai/free/en/papers/dagdelen-2024-structured-information-extraction-scientific-text/) / cited by # Who cites «Structured information extraction from scientific text with large language models» 69 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «Structured information extraction from scientific text with large language models»](https://md.research.elamur.ai/free/en/papers/dagdelen-2024-structured-information-extraction-scientific-text/) 1. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Derong Xu, Wei Chen, Wenjun Peng, et al.*2023 · 406 citations* 2. [**A Review of Large Language Models and Autonomous Agents in Chemistry arXiv:2407.01603**Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White*2024 · 288 citations*](https://md.research.elamur.ai/free/en/papers/ramos-2024-review-large-language-models-autonomous/) 3. [**LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation arXiv:2401.17244**Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2024-llamp-large-language-model-made/) 4. **[Overview of the MEDIQA-SYNUR 2026 Shared Task on Observation Extraction from Nurse Dictations](https://md.research.elamur.ai/free/en/papers/michalopoulos-2026-overview-mediqa-synur-2026-shared/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**George Michalopoulos, Jean-Philippe Corbeil, Cari Bader, et al.*2026 · 9 citations* 5. **[Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction](https://md.research.elamur.ai/free/en/papers/ravikumar-2026-lost-formatting-how-output-formats/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro*2026 · 2 citations* 6. **[arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-arxiv2table-realistic-benchmarking-evaluation-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weiqi Wang, Jiefu Ou, Yangqiu Song, et al.*2026 · 1 citation* 7. **[A Dual-View Analysis of Multiple Languages in Colonial Newspapers](https://md.research.elamur.ai/free/en/papers/su-2026-dual-view-analysis-multiple-languages/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhan Su, Xiaoya Chen, Fengran Mo, et al.*2026* 8. **[Evaluating Generative Large Language Models for Portuguese Scientific Information Extraction](https://md.research.elamur.ai/free/en/papers/pinto-2026-evaluating-generative-large-language-models/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026* 9. **[Generative Information Extraction from Biographical Sources](https://md.research.elamur.ai/free/en/papers/winkle-2026-generative-information-extraction-biographical-sources/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Robin Winkle, Manfred Stede, Jörn Kreutel*2026* 10. **[MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents](https://md.research.elamur.ai/free/en/papers/zhang-2026-mmuie-massive-multi-domain-universal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyi Zhang, Zhenbin Chen, Shuting Li, et al.*2026* 11. **[PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific Papers](https://md.research.elamur.ai/free/en/papers/xiong-2026-paperscope-multi-modal-multi-document/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lei Xiong, Huaying Yuan, Zheng Liu, et al.*2026* 12. **[SAUCE: Summary Analysis Using Conversation Entailment](https://md.research.elamur.ai/free/en/papers/sung-2026-sauce-summary-analysis-conversation-entailment/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Man-Ling Sung, Hemanth Kandula, Jeff Ma, et al.*2026* 13. **[TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action](https://md.research.elamur.ai/free/en/papers/zhou-2026-textminex-data-evaluation-framework-ontology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.*2026* 14. **[Zero-Shot Open-Schema Entity Structure Discovery](https://md.research.elamur.ai/free/en/papers/xu-2026-zero-shot-open-schema-entity/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xueqiang Xu, Jinfeng Xiao, James Barry, et al.*2026* 55 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/dagdelen-2024-structured-information-extraction-scientific-text/) — Structured information extraction from scientific text with large language models