Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

GSM8K / MATH

data category: LLM evaluation benchmarks · 0 papers in the last 7 days

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

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Names searched for: GSM8K, MATH benchmark, MATH dataset

Key findings#

  • From Nov 2023 to Oct 2026, 51 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 51 papers in the tracked journals, most of them in AI (48), 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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
4182951

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 0 papers2023: 1 paper2024: 4 papers2025: 21 papers2026 (so far): 25 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI000000142122
Information Systems0000000001
Operations Research0000000001
Finance0000000001
All categories000000142125

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China29
2United States11
3Hong Kong6
4United Kingdom5
5Singapore4
6United Arab Emirates3
7Australia3
8Canada3
9Germany3
10Italy3
Keywords with the most papers, since 2023
#KeywordPapers
1large language models39
2GSM8K5
3chain-of-thought prompting5
4mathematical reasoning5
5prompt engineering4
6LLM agents3
7arithmetic reasoning3
8hallucination mitigation3
9knowledge distillation3
10mixture of experts3

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11727.8A Survey on Mixture of Experts in Large Language ModelsIEEE Transactions on Knowledge and Data Engineering2025-01-01Weilin Cai, Juyong Jiang, Fan Wang et al.
21586.0Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and PerspectivesIEEE Transactions on Artificial Intelligence2024-08-19Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
31199.8Datasets for large language models: a comprehensive surveyArtificial Intelligence Review2025-10-31Yang Liu, Jiahuan Cao, Chongyu Liu et al.
41045.9Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial IntelligenceIEEE Transactions on Artificial Intelligence2025-05-13Timothy R. McIntosh, Teo Sušnjak, Nalin Asanka Gamagedara Arachchilage et al.
5943.6Contrasting Linguistic Patterns in Human and LLM-Generated News TextArtificial Intelligence Review2024-08-23Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

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. The whole network →

What papers use GSM8K / MATH together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
MMLUDataset24247.8
HumanEval / MBPPDataset16395.6
TruthfulQA / HellaSwag / ARCDataset16186.5
Hugging Face HubDataset1526.6
BIG-benchDataset11289.5
MT-Bench / Chatbot ArenaDataset878.6
Retrieval and QA (MS MARCO, Natural Questions, HotpotQA)Dataset887.0
WikipediaDataset86.8
ImageNetDataset62.1
GLUE / SuperGLUEDataset537.8
CIFAR-10 / CIFAR-100Dataset31.9
MIMICDataset39.4
Papers mentioning GSM8K / MATH in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-19CODER: Data-efficient activation of mathematical reasoning via difficulty-aware core-setNeural NetworksLei Wang, GuoAo Liu, Xiaoyong ZhaoBeijing 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

@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}
}

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