TruthfulQA / HellaSwag / ARC

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: TruthfulQA, HellaSwag, AI2 Reasoning Challenge, ARC-Challenge, ARC-Easy

Key findings#

From Nov 2023 to Oct 2026, 69 archived papers mentioned TruthfulQA / HellaSwag / ARC in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2024 (6).
TruthfulQA / HellaSwag / ARC 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: Finance (1).
Most of them appeared in Journal of Financial Economics (1).
From 2017 to 2026 (so far), TruthfulQA / HellaSwag / ARC was mentioned in 70 papers in the tracked journals, most of them in AI (65), information systems (3) and finance (1).
26 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Beihang University (4), University of Hong Kong (4) and Chinese University of Hong Kong (3).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (9), Artificial Intelligence Review (6) and Expert Systems with Applications (6).
The most-cited of them is “A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 512 citations.
Papers use TruthfulQA / HellaSwag / ARC most often with MMLU (25), Hugging Face Hub (22) and Wikipedia (19); it has 29 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
	11	25	33	69

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2023	2024	2025	2026 (so far)
AI	4	12	24	25
Information Systems	0	0	2	1
Finance	0	0	0	1
Management	0	0	0	1
All categories	4	12	26	28

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	IEEE Transactions on Pattern Analysis and Machine Intelligence	9
2	Artificial Intelligence Review	6
3	Expert Systems with Applications	6
4	Information Processing & Management	4
5	Neural Networks	4
6	International Journal of Computer Vision	4
7	Neural Computing and Applications	4
8	AI & Society	4
9	Nature Machine Intelligence	4
10	Knowledge and Information Systems	3

Institutions with the most papers, since 2023
#	Institution	Papers
1	Beihang University	4
2	University of Hong Kong	4
3	Chinese University of Hong Kong	3
4	National University of Singapore	3
5	Alibaba Group (China)	2
6	Chinese Academy of Sciences	2
7	East China Normal University	2
8	Harbin Institute of Technology	2
9	Huazhong University of Science and Technology	2
10	KIIT University	2

Countries with the most papers, since 2023
#	Country	Papers
1	China	27
2	United States	15
3	Hong Kong	7
4	Germany	5
5	Spain	5
6	Australia	4
7	United Kingdom	4
8	Singapore	4
9	India	3
10	Saudi Arabia	3

Keywords with the most papers, since 2023
#	Keyword	Papers
1	large language models	45
2	hallucination mitigation	7
3	interpretability	5
4	generative AI	4
5	natural language processing	4
6	ChatGPT	3
7	TruthfulQA	3
8	generalization	3
9	hallucinations	3
10	llamas	3

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	512	19.3	A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-08-21	Hongrong Cheng, Miao Zhang, Qinfeng Shi
2	495	14.0	A comprehensive survey on applications of transformers for deep learning tasks	Expert Systems with Applications	2023-11-22	Saidul Islam, Hanae Elmekki, Ahmed Elsebai et al.
3	188	7.1	Factuality challenges in the era of large language models and opportunities for fact-checking	Nature Machine Intelligence	2024-08-22	Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha et al.
4	158	6.0	Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives	IEEE Transactions on Artificial Intelligence	2024-08-19	Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
5	142	5.3	Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models	Artificial Intelligence Review	2024-08-10	Zichao Lin, Shuyan Guan, Wending Zhang 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 TruthfulQA / HellaSwag / ARC most often with MMLU (25), Hugging Face Hub (22) and Wikipedia (19); it has 29 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use TruthfulQA / HellaSwag / ARC together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
MMLU	Dataset	25	216.3
Hugging Face Hub	Dataset	22	32.2
Wikipedia	Dataset	19	12.8
GSM8K / MATH	Dataset	16	206.3
ImageNet	Dataset	13	3.8
MT-Bench / Chatbot Arena	Dataset	10	82.3
BIG-bench	Dataset	9	198.4
Pre-training corpora (Common Crawl, C4, The Pile)	Dataset	9	55.9
Twitter / X	Dataset	9	1.4
HumanEval / MBPP	Dataset	8	160.8
Natural language inference (SNLI, MultiNLI)	Dataset	8	58.2
CIFAR-10 / CIFAR-100	Dataset	7	3.5

Papers mentioning TruthfulQA / HellaSwag / ARC in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
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

Cite this page

Scholar4AI. (2026). TruthfulQA / HellaSwag / ARC. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/truthfulqa-hellaswag-arc

@misc{scholar4ai-datasets-truthfulqa-hellaswag-arc,
  author = {{Scholar4AI}},
  title = {TruthfulQA / HellaSwag / ARC},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/truthfulqa-hellaswag-arc}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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