---
title: "Who cites MathChat: Benchmarking — 16 citing papers"
description: "16 papers of the Elamur Research library cite «MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn…"
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---
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# Who cites «MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions»

16 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 «MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions»](https://md.research.elamur.ai/free/en/papers/liang-2024-mathchat-benchmarking-mathematical-reasoning-instruction/)

1. [**LLMs Get Lost In Multi-Turn Conversation arXiv:2505.06120**Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.*2025 · 82 citations*](https://md.research.elamur.ai/free/en/papers/laban-2025-llms-get-lost-multi-turn/)
2. **[MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors](https://md.research.elamur.ai/free/en/papers/macina-2025-mathtutorbench-benchmark-measuring-open-ended/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jakub Macina, Nico Daheim, Ido Hakimi, et al.*2025 · 33 citations*
3. **[ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection](https://md.research.elamur.ai/free/en/papers/yan-2026-errorradar-benchmarking-complex-mathematical-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Yan, Shen Wang, Jiahao Huo, et al.*2026 · 23 citations*
4. **[EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework](https://md.research.elamur.ai/free/en/papers/shi-2025-educationq-evaluating-llms-teaching-capabilities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao Shi, Rongkeng Liang, Yong Xu*2025 · 14 citations*
5. **[Confidence Should Be Calibrated More Than One Turn Deep](https://md.research.elamur.ai/free/en/papers/zhang-2026-confidence-should-be-calibrated-more/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, et al.*2026 · 3 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/liang-2024-mathchat-benchmarking-mathematical-reasoning-instruction/) — MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
