FinQA / ConvFinQA / TAT-QA

data category: Financial NLP datasets · 0 papers in the last 7 days

← Most-used data · All Financial NLP datasets datasets

Labelled financial texts used to train and test language models on finance.

Names searched for: FinQA, ConvFinQA, TAT-QA

Key findings#

From Nov 2023 to Oct 2026, 14 archived papers mentioned FinQA / ConvFinQA / TAT-QA in their title, abstract, keywords or full text, most of them in Feb 2026 (2).
FinQA / ConvFinQA / TAT-QA 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 Artificial Intelligence Review (1).
From 2017 to 2026 (so far), FinQA / ConvFinQA / TAT-QA was mentioned in 14 papers in the tracked journals, most of them in AI (10), information systems (2) and economics (1).
5 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were The University of Melbourne (3), The University of Sydney (2) and Tsinghua University (2).
The journals publishing most of them were Artificial Intelligence Review (2), Neural Computing and Applications (2) and Knowledge-Based Systems (2).
The most-cited of them is “AI for social science and social science of AI: A survey” (Information Processing & Management, 2024), with 126 citations.
Papers use FinQA / ConvFinQA / TAT-QA most often with Wikipedia (9), FiQA (4) and Twitter / X (4); it has 4 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, keywords and full texts)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	3	5	6	14

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2024	2025	2026 (so far)
AI	2	3	5
Information Systems	0	1	1
Economics	0	1	0
Operations Research	1	0	0
All categories	3	5	6

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Artificial Intelligence Review	2
2	Neural Computing and Applications	2
3	Knowledge-Based Systems	2
4	IEEE Transactions on Knowledge and Data Engineering	2
5	World Wide Web	2
6	IEEE Transactions on Pattern Analysis and Machine Intelligence	1
7	Information Processing & Management	1
8	European Journal of Operational Research	1
9	Computational Economics	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	The University of Melbourne	3
2	The University of Sydney	2
3	Tsinghua University	2
4	UNSW Sydney	2
5	Aalto University	1
6	BASF (Germany)	1
7	Beijing Institute of Technology	1
8	Centre National de la Recherche Scientifique	1
9	Chinese Academy of Sciences	1
10	DELL (United States)	1

Countries with the most papers, since 2023
#	Country	Papers
1	China	5
2	Australia	4
3	Belgium	1
4	Brazil	1
5	Switzerland	1
6	Germany	1
7	Finland	1
8	France	1
9	India	1
10	Singapore	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	large language models	7
2	feature fusion	2
3	open-ended question answering	2
4	pre-trained language models	2
5	tabular data	2
6	AI agents	1
7	AI-assisted research	1
8	BERT	1
9	CNN feature extraction	1
10	GPT	1

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	126	3.8	AI for social science and social science of AI: A survey	Information Processing & Management	2024-02-08	R. F. Xu, Yingfei Sun, Mengjie Ren et al.
2	85	3.9	Large Language Models in Finance (FinLLMs)	Neural Computing and Applications	2025-01-11	Jean Lee, Nicholas Stevens, Soyeon Caren Han
3	72	3.8	A comprehensive survey on integrating large language models with knowledge-based methods	Knowledge-Based Systems	2025-04-12	Wenli Yang, Lilian Some, Michael Bain et al.
4	28	1.3	Integration of CNN Models and Machine Learning Methods in Credit Score Classification: 2D Image Transformation and Feature Extraction	Computational Economics	2025-02-05	Yunus Emre Gür, Mesut Toğaçar, Bilal Solak
5	21	1.4	Demystifying Chains, Trees, and Graphs of Thoughts	IEEE Transactions on Pattern Analysis and Machine Intelligence	2025-08-12	Maciej Besta, Florim Memedi, Zhenyu 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 FinQA / ConvFinQA / TAT-QA most often with Wikipedia (9), FiQA (4) and Twitter / X (4); it has 4 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use FinQA / ConvFinQA / TAT-QA together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
Wikipedia	Dataset	9	30.3
FiQA	Dataset	4	683.4
Twitter / X	Dataset	4	3.1
Financial PhraseBank	Dataset	3	512.6

Papers mentioning FinQA / ConvFinQA / TAT-QA in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-17	Language modeling on tabular data: a survey of foundations, techniques and evolution	Artificial Intelligence Review	Yucheng Ruan, Xiang Lan, Jingying Ma et al.	National University of Singapore; Institute of Data Science

Cite this page

Scholar4AI. (2026). FinQA / ConvFinQA / TAT-QA. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/finqa-convfinqa-tat-qa

@misc{scholar4ai-datasets-finqa-convfinqa-tat-qa,
  author = {{Scholar4AI}},
  title = {FinQA / ConvFinQA / TAT-QA},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/finqa-convfinqa-tat-qa}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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