---
title: "Who cites Evaluating Large Language — 15 citing papers"
description: "15 papers of the Elamur Research library cite «Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and…"
canonical: "https://research.elamur.ai/free/en/papers/ando-2023-evaluating-large-language-models-neubaroco/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ando-2023-evaluating-large-language-models-neubaroco/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Evaluating Large Language Models with NeuBAROCO…](https://md.research.elamur.ai/free/en/papers/ando-2023-evaluating-large-language-models-neubaroco/) / cited by

# Who cites «Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases»

15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases»](https://md.research.elamur.ai/free/en/papers/ando-2023-evaluating-large-language-models-neubaroco/)

1. [**Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A Survey arXiv:2404.01869**Philipp Mondorf, Barbara Plank*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/mondorf-2024-accuracy-evaluating-reasoning-behavior-large/)
2. **[SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/valentino-2026-semeval-2026-task-11-disentangling/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Marco Valentino, Leonardo Ranaldi, Giulia Pucci, et al.*2026 · 22 citations*
3. **[BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/nguyen-2026-bis-reasoning-1-0-first/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ha Thanh Nguyen, Hideyuki Tachibana, Chaoran Liu, et al.*2026 · 1 citation*
4. **[HHU-SyLo at SemEval-2026 Task 11: Logic in the Loop – Hybridizing LLMs and Theorem Provers for Robust Formal Reasoning](https://md.research.elamur.ai/free/en/papers/petersen-2026-hhu-sylo-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wiebke Petersen, Cherine Jaziri, Diem Tran*2026 · 1 citation*
5. **[Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models?](https://md.research.elamur.ai/free/en/papers/wu-2026-unlocking-human-like-visible-logic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin Wu, Yuqi Bu, Mengchen Zhao, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ando-2023-evaluating-large-language-models-neubaroco/) — Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases