---
title: "Who cites Empowering LLMs with Logical — 22 citing papers"
description: "22 papers of the Elamur Research library cite «Empowering LLMs with Logical Reasoning: A Comprehensive Survey», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/cheng-2025-empowering-llms-logical-reasoning-comprehensive/cited-by/"
---
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# Who cites «Empowering LLMs with Logical Reasoning: A Comprehensive Survey»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Empowering LLMs with Logical Reasoning: A Comprehensive Survey»](https://md.research.elamur.ai/free/en/papers/cheng-2025-empowering-llms-logical-reasoning-comprehensive/)

1. **[AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP](https://md.research.elamur.ai/free/en/papers/hasanaath-2025-arareasoner-evaluating-reasoning-based-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ahmed Abul Hasanaath, Aisha Alansari, Ahmed Ashraf, et al.*2025 · 8 citations*
2. **[What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge](https://md.research.elamur.ai/free/en/papers/zhou-2026-what-breaks-knowledge-graph-based/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, et al.*2026 · 3 citations*
3. **[HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization](https://md.research.elamur.ai/free/en/papers/shaikh-2026-habib-taz-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdullah Shaikh, Zain Naqi, Taha Zahid, et al.*2026 · 1 citation*
4. **[Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains](https://md.research.elamur.ai/free/en/papers/park-2026-where-reasoning-breaks-logic-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seunghyun Park, Yuanyuan Lei*2026 · 1 citation*
5. **[Assessing the Belief Consistency of Large Language Models on the Logical Conversation Process](https://md.research.elamur.ai/free/en/papers/tsujimura-2026-assessing-belief-consistency-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tomoki Tsujimura, Matīss Rikters, Masaki Asada, et al.*2026*
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. **[MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive Supervision](https://md.research.elamur.ai/free/en/papers/yang-2026-mard-module-aware-reasoning-distillation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.*2026*
8. **[Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies](https://md.research.elamur.ai/free/en/papers/shen-2026-truth-or-sophistry-lofa-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xudong Shen, li Yuan, Ye Chen, et al.*2026*

14 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/cheng-2025-empowering-llms-logical-reasoning-comprehensive/) — Empowering LLMs with Logical Reasoning: A Comprehensive Survey