--- title: "Who cites Sebastijan Dumančić — 138 papers of our library" description: "138 papers of the Elamur Research library cite the works of Sebastijan Dumančić, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/sebastijan-dumancic/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sebastijan-dumancic/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Sebastijan Dumančić](https://md.research.elamur.ai/free/en/authors/sebastijan-dumancic/) / cited by # Who cites Sebastijan Dumančić 141 citations of their works from 138 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← Sebastijan Dumančić](https://md.research.elamur.ai/free/en/authors/sebastijan-dumancic/) 1. **[Logic Tensor Networks](https://md.research.elamur.ai/free/en/papers/badreddine-2020-logic-tensor-networks/) [Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/artificial-intelligence/)**Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini, et al.*2020 · 276 citations* 2. **[LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers](https://md.research.elamur.ai/free/en/papers/olausson-2023-linc-neurosymbolic-approach-logical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Theo X. Olausson, Alex Gu, Benjamin Lipkin, et al.*2023 · 172 citations* 3. **[Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting](https://md.research.elamur.ai/free/en/papers/chen-2023-dipping-plms-sauce-bridging-structure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chen Chen, Yufei Wang, Aixin Sun, et al.*2023 · 75 citations* 4. **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dawei Li, Zhen Tan, Tianlong Chen, et al.*2024 · 30 citations* 5. [**TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs arXiv:2402.12309**Siheng Xiong, Yuan Yang, Faramarz Fekri, et al.*2024 · 25 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-tilp-differentiable-learning-temporal-logical/) 6. [**Neuro-Symbolic Artificial Intelligence: Current Trends arXiv:2105.05330**Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, et al.*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/sarker-2021-neuro-symbolic-artificial-intelligence/) 7. **[RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/gong-2025-rtqa-recursive-thinking-complex-temporal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaoyan Gong, Juan Li, Zhiqiang Liu, et al.*2025 · 9 citations* 8. [**From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey arXiv:2108.11451**Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/marra-2021-statistical-relational-neurosymbolic-artificial/) 9. **[Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language Models](https://md.research.elamur.ai/free/en/papers/ning-2026-critic-rule-induction-improving-temporal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingsong Ning, Fu Zhang, Jingwei Cheng, et al.*2026* 10. **[LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zheng-2026-lcr-rag-enhancing-logical-consistency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenxiang Zheng, Guo Tang, Shixin Jiang, et al.*2026* 11. **[Neuro-symbolic Approaches for Rubric-Based Automatic Essay Evaluation of ENEM Essays](https://md.research.elamur.ai/free/en/papers/silveira-2026-neuro-symbolic-approaches-rubric-based/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Igor Cataneo Silveira, Denis Deratani Mauá*2026* 12. **[Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-temporal-evidence-chain-temporal-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shihao Liu, Xiaofei Zhou, Bo Wang, et al.*2026* 13. **[Research Progress and Trend of Temporal Knowledge Graph Representation and Reasoning (时序知识图谱表示与推理的研究进展与趋势)](https://md.research.elamur.ai/free/en/papers/wang-2024-trend-temporal-knowledge/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yuhan Wang (王俞涵), Ziyang Chen (陈子阳), Xiang Zhao (赵翔), et al.*2024* 14. **[Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)](https://md.research.elamur.ai/free/en/papers/zhang-2021-overview-knowledge-graph/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Tiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.*2021* 124 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/sebastijan-dumancic/) — Sebastijan Dumančić