---
title: "Who cites MathChat: Converse to Tackle — 31 citing papers"
description: "31 papers of the Elamur Research library cite «MathChat: Converse to Tackle Challenging Math Problems with LLM Agents», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/wu-2023-mathchat-converse-tackle-challenging-math/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MathChat: Converse to Tackle Challenging Math…](https://md.research.elamur.ai/free/en/papers/wu-2023-mathchat-converse-tackle-challenging-math/) / cited by

# Who cites «MathChat: Converse to Tackle Challenging Math Problems with LLM Agents»

31 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «MathChat: Converse to Tackle Challenging Math Problems with LLM Agents»](https://md.research.elamur.ai/free/en/papers/wu-2023-mathchat-converse-tackle-challenging-math/)

1. **[A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Yupeng Chang, Xu Wang, Jindong Wang, et al.*2023 · 3,648 citations*
2. [**AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation arXiv:2308.08155**Qingyun Wu, Gagan Bansal, Jieyu Zhang, et al.*2023 · 606 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-autogen-enabling-next-gen-llm/)
3. **[Large Language Models for Mathematical Reasoning: Progresses and Challenges](https://md.research.elamur.ai/free/en/papers/ahn-2024-large-language-models-mathematical-reasoning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Janice Ahn, Rishu Verma, Renze Lou, et al.*2024 · 280 citations*
4. [**StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows arXiv:2403.11322**Yiran Wu, Tianwei Yue, Shaokun Zhang, et al.*2024 · 25 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-stateflow-enhancing-llm-task-solving/)
5. [**ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving arXiv:2501.08203**Zain Ul Abedin, Shahzeb Qamar, Lucie Flek, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/abedin-2025-arithmattack-evaluating-robustness-llms-noisy/)
6. **[Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale](https://md.research.elamur.ai/free/en/papers/wang-2026-double-edged-sword-or-sharp/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Canran Wang, Yuwen Yang, Zhen Wang, et al.*2026*
7. **[IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review](https://md.research.elamur.ai/free/en/papers/ma-2026-intragent-llm-agent-content-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengbo Ma, Zixin Rao, Xiaoting Li, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wu-2023-mathchat-converse-tackle-challenging-math/) — MathChat: Converse to Tackle Challenging Math Problems with LLM Agents