MT-Bench / Chatbot Arena

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.

Names searched for: MT-Bench, Chatbot Arena

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 (2026-10-06 to 2026-11-04).
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#

20172026 (so far)

Papers per publication year and category
Category	2024	2025	2026 (so far)
AI	10	23	34
Information Systems	0	2	5
Operations Research	0	1	3
Higher Education and Research	0	1	2
Management	0	0	2
All categories	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	8
2	Artificial Intelligence Review	7
3	Expert Systems with Applications	7
4	Information Fusion	7
5	Machine Learning	6
6	Neural Computing and Applications	6
7	International Journal of Computer Vision	4
8	Neural Networks	3
9	Group Decision and Negotiation	3
10	Knowledge-Based Systems	3

Institutions with the most papers, since 2023
#	Institution	Papers
1	Harbin Institute of Technology	4
2	Massachusetts Institute of Technology	4
3	Nanyang Technological University	4
4	Fraunhofer Institute for Applied Information Technology	3
5	Hong Kong Polytechnic University	3
6	Peking University	3
7	Tsinghua University	3
8	University of Hohenheim	3
9	University of Pisa	3
10	Alibaba Group (China)	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	49
2	explainable AI	6
3	prompt engineering	6
4	vision-language models	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	Artificial Intelligence Review	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	Information Fusion	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	Expert Systems with Applications	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	Artificial Intelligence Review	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	IEEE Transactions on Pattern Analysis and Machine Intelligence	2026-02-02	Zeming Wei, Yue Wang, Ang Li et al.

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 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. The whole network →

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	Dataset	20	24.7
MMLU	Dataset	14	102.1
Wikipedia	Dataset	13	7.4
Twitter / X	Dataset	11	1.4
TruthfulQA / HellaSwag / ARC	Dataset	10	82.3
GSM8K / MATH	Dataset	8	87.0
HumanEval / MBPP	Dataset	7	118.7
Reddit	Dataset	7	6.7
GLUE / SuperGLUE	Dataset	6	32.0
ImageNet	Dataset	5	1.2
Amazon Mechanical Turk	Dataset	4	3.9
Facebook	Dataset	4	0.8

Cite this page

Scholar4AI. (2026). MT-Bench / Chatbot Arena. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/mt-bench-chatbot-arena

@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 = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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