Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

FiQA

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

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

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Names searched for: FiQA

Key findings#

  • From Nov 2023 to Oct 2026, 15 archived papers mentioned FiQA in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2026 (3).
  • No paper of the tracked journals mentioned FiQA in the last 30 days (2026-10-06 to 2026-11-04).
  • From 2017 to 2026 (so far), FiQA was mentioned in 16 papers in the tracked journals, most of them in AI (14), finance (1) and operations research (1).
  • 5 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (2), Chinese Academy of Sciences (2) and Université de Lille (2).
  • The journals publishing most of them were Neural Computing and Applications (3), IEEE Transactions on Pattern Analysis and Machine Intelligence (2) and Artificial Intelligence Review (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 FiQA most often with Twitter / X (7), Wikipedia (7) and Financial PhraseBank (6); it has 7 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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
57315

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 0 papers2023: 1 paper2024: 7 papers2025: 5 papers2026 (so far): 3 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0000001643
Finance0000000010
Operations Research0000000100
All categories0000001753

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Centre National de la Recherche Scientifique2
2Chinese Academy of Sciences2
3Université de Lille2
4Aalto University1
5American University1
6Beihang University1
7Centrale Lille Institut1
8Centre de Recherche en Informatique, Signal et Automatique de Lille1
9Erasmus University Rotterdam1
10Hangzhou City University1
Countries with the most papers, since 2023
#CountryPapers
1China5
2Australia2
3France2
4India2
5New Zealand2
6United States2
7Belgium1
8Finland1
9United Kingdom1
10Italy1
Keywords with the most papers, since 2023
#KeywordPapers
1large language models6
2financial sentiment analysis3
3RoBERTa2
4aspect-based sentiment analysis2
5benchmark dataset2
6benchmark evaluation2
7hallucinations2
8named entity recognition2
9sentiment analysis2
103D facial imaging1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11263.8AI for social science and social science of AI: A surveyInformation Processing & Management2024-02-08R. F. Xu, Yingfei Sun, Mengjie Ren et al.
21045.9Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial IntelligenceIEEE Transactions on Artificial Intelligence2025-05-13Timothy R. McIntosh, Teo Sušnjak, Nalin Asanka Gamagedara Arachchilage et al.
3933.6A systematic review of aspect-based sentiment analysis: domains, methods, and trendsArtificial Intelligence Review2024-09-17Yan Cathy Hua, Paul C. Denny, Jörg Simon Wicker et al.
4853.9Large Language Models in Finance (FinLLMs)Neural Computing and Applications2025-01-11Jean Lee, Nicholas Stevens, Soyeon Caren Han
5632.9Approximate homomorphic encryption based privacy-preserving machine learning: a surveyArtificial Intelligence Review2025-01-05Jiangjun Yuan, Weinan Liu, Jiawen Shi 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 FiQA most often with Twitter / X (7), Wikipedia (7) and Financial PhraseBank (6); it has 7 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use FiQA together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
Twitter / XDataset74.7
WikipediaDataset718.9
Financial PhraseBankDataset6821.2
FinQA / ConvFinQA / TAT-QADataset4866.8
Hugging Face HubDataset422.6
S&P 500Dataset44.6
FacebookDataset33.0
Cite this page

Scholar4AI. (2026). FiQA. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/fiqa

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).