---
title: "MT-Bench / Chatbot Arena: research papers using this data"
description: "From Nov 2023 to Oct 2026, 83 archived papers mentioned MT-Bench / Chatbot Arena in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (9)."
url: https://scholar4ai.com/datasets/mt-bench-chatbot-arena
markdown_url: https://scholar4ai.com/datasets/mt-bench-chatbot-arena.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 83 archived papers mentioned MT-Bench / Chatbot Arena in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (9). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# MT-Bench / Chatbot Arena

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.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: MT-Bench, Chatbot Arena

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, 83 archived papers mentioned MT-Bench / Chatbot Arena in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (9).
- No paper of the tracked journals mentioned MT-Bench / Chatbot Arena in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), MT-Bench / Chatbot Arena was mentioned in 83 papers in the tracked journals, most of them in AI (67), information systems (7) and operations research (4).
- 27 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Harbin Institute of Technology (4), Massachusetts Institute of Technology (4) and Nanyang Technological University (4).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (8), Artificial Intelligence Review (7) and Expert Systems with Applications (7).
- The most-cited of them is “Datasets for large language models: a comprehensive survey” (Artificial Intelligence Review, 2025), with 119 citations.
- Papers use MT-Bench / Chatbot Arena most often with Hugging Face Hub (20), MMLU (14) and Wikipedia (13); it has 23 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 |
|---|---:|---:|---:|---:|
|  | 9 | 22 | 52 | 83 |

## 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 | 0 | 10 | 23 | 34 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 27 | 46 |

## 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) | 7 |
| 3 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 7 |
| 4 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 7 |
| 5 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 6 |
| 6 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 6 |
| 7 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 4 |
| 8 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 3 |
| 9 | [Group Decision and Negotiation](https://scholar4ai.com/journals/group-decision-and-negotiation.md) | 3 |
| 10 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 3 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Harbin Institute of Technology](https://scholar4ai.com/institutions/harbin-institute-of-technology.md) | 4 |
| 2 | [Massachusetts Institute of Technology](https://scholar4ai.com/institutions/massachusetts-institute-of-technology.md) | 4 |
| 3 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 4 |
| 4 | [Fraunhofer Institute for Applied Information Technology](https://scholar4ai.com/institutions/fraunhofer-institute-for-applied-information-technology.md) | 3 |
| 5 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 3 |
| 6 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 3 |
| 7 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 3 |
| 8 | University of Hohenheim | 3 |
| 9 | [University of Pisa](https://scholar4ai.com/institutions/university-of-pisa.md) | 3 |
| 10 | [Alibaba Group (China)](https://scholar4ai.com/companies/alibaba-group-china.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 26 |
| 2 | United States | 17 |
| 3 | Italy | 10 |
| 4 | United Kingdom | 9 |
| 5 | Germany | 7 |
| 6 | Spain | 6 |
| 7 | Singapore | 6 |
| 8 | Hong Kong | 5 |
| 9 | Australia | 3 |
| 10 | France | 3 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 49 |
| 2 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 6 |
| 3 | prompt engineering | 6 |
| 4 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 6 |
| 5 | multimodal large language models | 5 |
| 6 | DeepSeek-V3 | 4 |
| 7 | GPT-4o | 4 |
| 8 | LLM evaluation | 4 |
| 9 | GPT-4 | 3 |
| 10 | LLM-as-a-judge | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 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. |
| 2 | 116 | 5.2 | [A comprehensive survey of large language models and multimodal large language models in medicine](https://doi.org/10.1016/j.inffus.2024.102888) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2024-12-23 | Hanguang Xiao, Feizhong Zhou, Xingyue Liu et al. |
| 3 | 57 | 3.2 | [XG-NID: Dual-modality network intrusion detection using a heterogeneous graph neural network and large language model](https://doi.org/10.1016/j.eswa.2025.128089) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2025-05-10 | Yasir Ali Farrukh, Syed Waqee Wali, Irfan Khan et al. |
| 4 | 52 | 4.5 | [Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions](https://doi.org/10.1007/s10462-025-11423-3) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-11-20 | Luyang Fang, Xiaowei Yu, Jiazhang Cai et al. |
| 5 | 51 | 5.6 | [Jailbreak and Guard Aligned Language Models With Only Few In-Context Demonstrations](https://doi.org/10.1109/tpami.2026.3660147) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2026-02-02 | Zeming Wei, Yue Wang, Ang Li et al. |

## Used together with

Papers use MT-Bench / Chatbot Arena most often with Hugging Face Hub (20), MMLU (14) and Wikipedia (13); it has 23 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

*What papers use MT-Bench / Chatbot Arena together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Hugging Face Hub](https://scholar4ai.com/datasets/hugging-face-hub.md) | Dataset | 20 | 24.7 |
| [MMLU](https://scholar4ai.com/datasets/mmlu.md) | Dataset | 14 | 102.1 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 13 | 7.4 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 11 | 1.4 |
| [TruthfulQA / HellaSwag / ARC](https://scholar4ai.com/datasets/truthfulqa-hellaswag-arc.md) | Dataset | 10 | 82.3 |
| [GSM8K / MATH](https://scholar4ai.com/datasets/gsm8k-math.md) | Dataset | 8 | 87.0 |
| [HumanEval / MBPP](https://scholar4ai.com/datasets/humaneval-mbpp.md) | Dataset | 7 | 118.7 |
| [Reddit](https://scholar4ai.com/datasets/reddit.md) | Dataset | 7 | 6.7 |
| [GLUE / SuperGLUE](https://scholar4ai.com/datasets/glue-superglue.md) | Dataset | 6 | 32.0 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 5 | 1.2 |
| [Amazon Mechanical Turk](https://scholar4ai.com/datasets/amazon-mechanical-turk.md) | Dataset | 4 | 3.9 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 4 | 0.8 |

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

## Cite this page

Scholar4AI. (2026). MT-Bench / Chatbot Arena. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/mt-bench-chatbot-arena

```bibtex
@misc{scholar4ai-datasets-mt-bench-chatbot-arena,
  author = {{Scholar4AI}},
  title = {MT-Bench / Chatbot Arena},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/mt-bench-chatbot-arena}},
  urldate = {2026-11-05},
  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/).