LLM evaluation benchmarks
Benchmarks used to compare large language models on knowledge, reasoning, math and code.
Key findings#
- Datasets in the category “LLM evaluation benchmarks” were mentioned in 7 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of the 58 data categories mentioned.
- The most-mentioned were MT-Bench / Chatbot Arena (4), GSM8K / MATH (2) and TruthfulQA / HellaSwag / ARC (1).
- By journal category: AI (5), Finance (1) and Management (1).
- Most of them appeared in Neural Computing and Applications (2), Neural Networks (1) and Journal of Financial Economics (1).
Datasets#
| Dataset | Papers | Last 7 days | Names searched for |
|---|---|---|---|
| MT-Bench / Chatbot Arena | 4 | 0 | MT-Bench, Chatbot Arena |
| GSM8K / MATH | 2 | 0 | GSM8K, MATH benchmark, MATH dataset |
| TruthfulQA / HellaSwag / ARC | 1 | 0 | TruthfulQA, HellaSwag, AI2 Reasoning Challenge, ARC-Challenge, ARC-Easy |
| BIG-bench | 0 | 0 | BIG-bench, BIG-Bench Hard |
| HumanEval / MBPP | 0 | 0 | HumanEval, MBPP |
| MMLU | 0 | 0 | MMLU, Massive Multitask Language Understanding |
| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-19 | CODER: Data-efficient activation of mathematical reasoning via difficulty-aware core-set | Neural Networks | Lei Wang, GuoAo Liu, Xiaoyong Zhao | Beijing Information Science & Technology University | GSM8K / MATH |
| 2026-10-06 | Chronologically consistent large language models | Journal of Financial Economics | Songrun He, Linying Lv, Asaf Manela et al. | Chinese University of Hong Kong; Washington University in St. Louis; University of Iowa | TruthfulQA / HellaSwag / ARC |
| 2026-10-03 | StoryReasoning dataset: Using chain-of-thought for scene understanding and grounded story generation | Pattern Recognition | Daniel A. P. Oliveira, David Martins de Matos | Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento; University of Lisbon; Instituto Superior Técnico | MT-Bench / Chatbot Arena |
| 2026-10-02 | Assessing inter-rater agreement among large language model judges: Evidence from persona evaluation across varying educational risk contexts | Technological Forecasting and Social Change | Danial Amin, Joni O. Salminen, Bernard J. Jim Jansen | University of Vaasa; Peking University; Nankai University | MT-Bench / Chatbot Arena |
| 2026-10-01 | Ontology-guided neuro-symbolic GraphRAG for grounded query answering | Neural Computing and Applications | Domenico Benfenati, Antonio M. Rinaldi | University of Naples Federico II | MT-Bench / Chatbot Arena |
| 2026-10-01 | Performance within the foundation paradox: the case for small qualitative evaluations | Neural Computing and Applications | Michael P. Simeone, Jacki Hyatt, Elisa Jayne Bienenstock et al. | Arizona State University | MT-Bench / Chatbot Arena |
| 2026-09-28 | Mapping the RAG landscape: a four-axis taxonomy of efficiency, defense, interactivity, and reasoning | Artificial Intelligence Review | Meghana Sunil, Vaddepalli Shravya, Shravan Venkatraman et al. | Vellore Institute of Technology University; Mohamed bin Zayed University of Artificial Intelligence | GSM8K / MATH |
Cite this page
Scholar4AI. (2026). LLM evaluation benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/llm-evaluation-benchmarks
@misc{scholar4ai-datasets-llm-evaluation-benchmarks,
author = {{Scholar4AI}},
title = {LLM evaluation benchmarks},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/llm-evaluation-benchmarks}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}