---
title: "GSM8K / MATH: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 53 archived papers mentioned GSM8K / MATH in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (8)."
url: https://scholar4ai.com/datasets/gsm8k-math
markdown_url: https://scholar4ai.com/datasets/gsm8k-math.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 53 archived papers mentioned GSM8K / MATH in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (8). (as of 2026-11-04)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T18:03:26+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# GSM8K / MATH

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/3.md)

Benchmarks used to compare large language models on knowledge, reasoning, math and code.

- data category: LLM evaluation benchmarks
- 0 papers in the last 7 days
- Names searched for: GSM8K, MATH benchmark, MATH dataset

Most-used data: https://scholar4ai.com/rankings/datasets.md · All LLM evaluation benchmarks datasets: https://scholar4ai.com/datasets/llm-evaluation-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 53 archived papers mentioned GSM8K / MATH in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (8).
- GSM8K / MATH was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
- By journal category: AI (1).
- Most of them appeared in Neural Networks (1).
- From 2017 to 2026 (so far), GSM8K / MATH was mentioned in 53 papers in the tracked journals, most of them in AI (50), information systems (1) and operations research (1).
- 21 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were National University of Singapore (3), South China University of Technology (3) and The Hong Kong University of Science and Technology (Guangzhou) (3).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (8), Artificial Intelligence Review (6) and Information Processing & Management (4).
- The most-cited of them is “A Survey on Mixture of Experts in Large Language Models” (IEEE Transactions on Knowledge and Data Engineering, 2025), with 172 citations.
- Papers use GSM8K / MATH most often with MMLU (24), HumanEval / MBPP (16) and TruthfulQA / HellaSwag / ARC (16); it has 15 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 4 | 18 | 31 | 53 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 21 | 24 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 21 | 27 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 8 |
| 2 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 6 |
| 3 | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 4 |
| 4 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 4 |
| 5 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 3 |
| 6 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 3 |
| 7 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 3 |
| 8 | [Information Sciences](https://scholar4ai.com/journals/information-sciences.md) | 2 |
| 9 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| 10 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 3 |
| 2 | [South China University of Technology](https://scholar4ai.com/institutions/south-china-university-of-technology.md) | 3 |
| 3 | The Hong Kong University of Science and Technology (Guangzhou) | 3 |
| 4 | [Wuhan University](https://scholar4ai.com/institutions/wuhan-university.md) | 3 |
| 5 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 2 |
| 6 | [Beijing University of Posts and Telecommunications](https://scholar4ai.com/institutions/beijing-university-of-posts-and-telecommunications.md) | 2 |
| 7 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 2 |
| 8 | [Chinese University of Hong Kong](https://scholar4ai.com/institutions/chinese-university-of-hong-kong.md) | 2 |
| 9 | [City University of Hong Kong](https://scholar4ai.com/institutions/city-university-of-hong-kong.md) | 2 |
| 10 | [East China Normal University](https://scholar4ai.com/institutions/east-china-normal-university.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 31 |
| 2 | United States | 11 |
| 3 | Hong Kong | 6 |
| 4 | United Kingdom | 5 |
| 5 | Singapore | 4 |
| 6 | United Arab Emirates | 3 |
| 7 | Australia | 3 |
| 8 | Canada | 3 |
| 9 | Germany | 3 |
| 10 | Italy | 3 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 40 |
| 2 | GSM8K | 7 |
| 3 | mathematical reasoning | 6 |
| 4 | chain-of-thought prompting | 5 |
| 5 | multi-step reasoning | 4 |
| 6 | prompt engineering | 4 |
| 7 | LLM agents | 3 |
| 8 | arithmetic reasoning | 3 |
| 9 | hallucination mitigation | 3 |
| 10 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 172 | 7.8 | [A Survey on Mixture of Experts in Large Language Models](https://doi.org/10.1109/tkde.2025.3554028) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2025-01-01 | Weilin Cai, Juyong Jiang, Fan Wang et al. |
| 2 | 158 | 6.0 | [Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives](https://doi.org/10.1109/tai.2024.3444742) | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 2024-08-19 | Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat |
| 3 | 119 | 9.8 | [Datasets for large language models: a comprehensive survey](https://doi.org/10.1007/s10462-025-11403-7) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-10-31 | Yang Liu, Jiahuan Cao, Chongyu Liu et al. |
| 4 | 104 | 5.9 | [Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence](https://doi.org/10.1109/tai.2025.3569516) | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 2025-05-13 | Timothy R. McIntosh, Teo Sušnjak, Nalin Asanka Gamagedara Arachchilage et al. |
| 5 | 94 | 3.6 | [Contrasting Linguistic Patterns in Human and LLM-Generated News Text](https://doi.org/10.1007/s10462-024-10903-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-08-23 | Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares |

## Used together with

Papers use GSM8K / MATH most often with MMLU (24), HumanEval / MBPP (16) and TruthfulQA / HellaSwag / ARC (16); it has 15 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

*What papers use GSM8K / MATH together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [MMLU](https://scholar4ai.com/datasets/mmlu.md) | Dataset | 24 | 274.2 |
| [HumanEval / MBPP](https://scholar4ai.com/datasets/humaneval-mbpp.md) | Dataset | 16 | 424.8 |
| [TruthfulQA / HellaSwag / ARC](https://scholar4ai.com/datasets/truthfulqa-hellaswag-arc.md) | Dataset | 16 | 206.3 |
| [Hugging Face Hub](https://scholar4ai.com/datasets/hugging-face-hub.md) | Dataset | 15 | 29.0 |
| [BIG-bench](https://scholar4ai.com/datasets/big-bench.md) | Dataset | 11 | 320.3 |
| [MT-Bench / Chatbot Arena](https://scholar4ai.com/datasets/mt-bench-chatbot-arena.md) | Dataset | 8 | 87.0 |
| [Retrieval and QA (MS MARCO, Natural Questions, HotpotQA)](https://scholar4ai.com/datasets/retrieval-and-qa-ms-marco-natural-questions-hotpotqa.md) | Dataset | 8 | 90.3 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 8 | 7.1 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 6 | 2.3 |
| [GLUE / SuperGLUE](https://scholar4ai.com/datasets/glue-superglue.md) | Dataset | 5 | 41.8 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 3 | 2.0 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 3 | 8.0 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning GSM8K / MATH in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-19 | [CODER: Data-efficient activation of mathematical reasoning via difficulty-aware core-set](https://doi.org/10.1016/j.neunet.2026.109765) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Lei Wang, GuoAo Liu, Xiaoyong Zhao | Beijing Information Science & Technology University |

## Cite this page

Scholar4AI. (2026). GSM8K / MATH. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/gsm8k-math

```bibtex
@misc{scholar4ai-datasets-gsm8k-math,
  author = {{Scholar4AI}},
  title = {GSM8K / MATH},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/gsm8k-math}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).