---
title: "Who cites Robin Manhaeve — 61 papers of our library"
description: "61 papers of the Elamur Research library cite the works of Robin Manhaeve, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/robin-manhaeve/cited-by/"
---
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# Who cites Robin Manhaeve

64 citations of their works from 61 papers of our library (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← Robin Manhaeve](https://md.research.elamur.ai/free/en/authors/robin-manhaeve/)

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. [**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/)
4. [**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/)
5. [**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/)
6. **[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*
7. **[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*

54 more citing papers of our library have no page here yet.

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