CLEF 2026 - Call for Participation
Task 3 leaderboard is ready Β· Submission deadline: 28 April 2026

FinMMEval Lab 2026

Multilingual and Multimodal Evaluation of Financial AI Systems

Latest News

Leaderboard Ready Updated: 4 February 2026 Deadline: 28 April 2026

Leaderboard Ready for Task 3 - Financial Decision Making

The Task 3 leaderboard is live. Deploy your endpoint and receive daily evaluations on BTC and TSLA decision-making.

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Daily Requests
One call per day at 00:00 UTC.
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Actions
BUY / HOLD / SELL mapped to long / flat / short.
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Live Metrics
Track performance updates on the leaderboard as evaluations run.
Submit Now
Submit your endpoint via the Agent Market Arena Google Form.
Submit Endpoint

Dataset: TheFinAI/CLEF_Task3_Trading

Awards Announced Updated: 4 February 2026

New awards for top submissions

We are recognizing the best systems with Best Paper, Outstanding Paper, and Merit / Encouragement awards.

πŸ†
Best Paper
USD 500
πŸ₯ˆ
Outstanding Paper
USD 300 each (x3)
🌱
Merit / Encouragement
USD 200 each (x2)
Awards
Top submissions will be recognized with monetary awards.
View Awards

See details in the Awards section.

Training Data Released Released: 15 December 2025

Ready-to-use splits for all tasks

Get calibrated training splits for exam-style Q&A, multilingual financial reasoning, and trading decision-making. Each dataset card includes format, licensing, and citation guidance.

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Task 1
Multilingual exam-style multiple choice.
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Task 2
PolyFiQA (Easy + Expert) filings with multilingual news Q&A.
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Task 3
BTC and TSLA daily contexts for Buy/Hold/Sell reasoning.
New
Browse the Hugging Face collection to download splits and review licensing.
Open Collection

Check each dataset card for citation, licensing, and format details.

About the Lab

FinMMEval Lab integrates financial reasoning, multilingual understanding, and decision-making into a unified evaluation suite designed to promote robust, transparent, and globally competent financial AI. The 2026 edition introduces three interconnected tasks spanning five languages.

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Multi-modal inputs: news, filings, macro indicators, tests.

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Multiple languages with low-resource representations: English, Chinese, Arabic, Hindi, Greek, Japanese, Spanish.

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Tasks spanning Q&A, and decision making.

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Metrics centered on Accuracy, ROUGE-1, BLEURT and performance quantitative metrics (e.g. CR, SR, MD).

Financial AI Framework

"How can I tailor my setup to make an LLM exceptionally good at finance?"

Tasks

Choose one or more tasks. Each submission must provide calibrated confidence scores and an evidence trace.

Task 1 - Financial Exam Q&A

Given a stand-alone multiple-choice question Q with four candidate options { A1, A2, A3, A4 }, the system must select the correct answer Aβˆ—. Questions cover valuation, accounting, ethics, corporate finance, and regulatory knowledge.

Motivation

Professional financial qualification exams (e.g., CFA, EFPA) require the integration of theoretical and regulatory knowledge with applied reasoning. Existing LLMs often rely on factual recall without demonstrating the analytical rigor expected from human candidates.

Data

  • EFPA (Spanish): 50 exam-style financial questions on investment and regulation.
  • GRFinQA (Greek): 225 multiple-choice finance questions from university-level exams.
  • CFA (English): 600 exam-style multiple-choice questions covering nine core domains.
  • CPA (Chinese): 300 exam-style financial questions focusing on major modules.
  • BBF (Hindi): 500-1000 exam-style financial multiple-choice questions covering over 30 domains.

Evaluation

Models are required to output the correct answer label. Performance is measured by accuracy, defined as the proportion of correctly identified options in the test set.

Important Dates

Specific dates will be announced once they are fixed.

  1. Lab registration opens
    17 November 2025
  2. Training data released
    15 December 2025 β€’ Available now via the Hugging Face collection
  3. Lab registration closes
    23 April 2026
  4. Task 3 submission deadline
    28 April 2026
  5. Beginning of the evaluation cycle (test sets release)
    May 2026
  6. End of the evaluation cycle (run submission)
    07 May 2026
  7. Deadline for the submission of working notes [CEUR-WS]
    28 May 2026
  8. Review process of participant papers
    28 May – 30 June 2026
  9. Submission of Condensed Lab Overviews [LNCS]
    08 June 2026
  10. Notification of Acceptance for Condensed Lab Overviews [LNCS]
    15 June 2026
  11. Camera Ready Copy of Condensed Lab Overviews [LNCS] due
    22 June 2026
  12. Notification of Acceptance for Participant Papers [CEUR-WS]
    30 June 2026
  13. Camera Ready Copy of Participant Papers and Extended Lab Overviews [CEUR-WS] due
    06 July 2026
  14. CLEF 2026 Conference
    21–24 September 2026 β€’ Jena, Germany

Awards

Top submissions will be recognized with monetary awards.

πŸ†
Best Paper Award
USD 500

Single award for the top-ranked submission and paper.

πŸ₯ˆ
Outstanding Paper Award
USD 300 each (x3)

Three awards recognizing strong submissions and writing.

🌱
Merit / Encouragement Award
USD 200 each (x2)

Two awards to celebrate promising approaches.

How to Participate

Engage with the challenges in a way that suits you - from a quick, one-time experiment to a detailed research project. While we invite you to share your findings in our workshop notes, you are also free to develop promising results into a full paper for an archival journal.

The workshop itself is a perfect opportunity to refine your ideas through discussion with peers.

Ready to join?

Sign Up

Sign up via the CLEF registration form (FinMMEval section)

Packaging Checklist


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    Results JSONL (per task)
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    System Card (architecture, data usage, risks)
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    Reproducibility (seed, versions, hardware)
  • βœ“
    License compliance acknowledgements (if applicable)

Organizers

Organizing committee and partner institutions.

Zhuohan Xie
Zhuohan Xie
MBZUAI (UAE)
Rania Elbadry
Rania Elbadry
MBZUAI (UAE)
Fan Zhang
Fan Zhang
The University of Tokyo (Japan)
Georgi Georgiev
Georgi Georgiev
Sofia University "St. Kliment Ohridski" (Bulgaria)
Xueqing Peng
Xueqing Peng
The Fin AI (USA)
Lingfei Qian
Lingfei Qian
The Fin AI (USA)
Jimin Huang
Jimin Huang
The Fin AI (USA)
Dimitar Dimitrov
Dimitar Dimitrov
Sofia University "St. Kliment Ohridski" (Bulgaria)
Vanshikaa Jani
Vanshikaa Jani
University of Arizona (USA)
Yuyang Dai
Yuyang Dai
INSAIT (Bulgaria)
Jiahui Geng
Jiahui Geng
LinkΓΆping University (Sweden)
Yankai Chen
Yankai Chen
McGill University (Canada) & MBZUAI (UAE)
Yuan Ye
Yuan Ye
McGill University (Canada) & Mila - Quebec AI Institute (Canada)
Haolun Wu
Haolun Wu
McGill University (Canada) & Mila - Quebec AI Institute (Canada)
Yuxia Wang
Yuxia Wang
INSAIT (Bulgaria)
Ivan Koychev
Ivan Koychev
Sofia University "St. Kliment Ohridski" (Bulgaria)
Veselin Stoyanov
Veselin Stoyanov
MBZUAI (UAE)
Mingzi Song
Mingzi Song
Nikkei Financial Technology Research Institute, Inc. (Japan)
Yu Chen
Yu Chen
The University of Tokyo (Japan)
Steve Liu
Steve Liu
McGill University (Canada) & MBZUAI (UAE)
Preslav Nakov
Preslav Nakov
MBZUAI (UAE)

Frequently Asked Questions

Who can participate?

Researchers and practitioners from academia and industry. Student teams are particularly welcome.

How is data licensed?

Research-only license; redistribution of raw sources may be restricted.

Can we submit to multiple tasks?

Yes. Submit independent result bundles per task.

Are ensembles allowed?

Yes, but disclose all components in the system card.

Contact

Email

zhuohan.xie@mbzuai.ac.ae

Discord

Join the FinMMEval server

Ask questions, share progress, and get updates.

Discord QR code for the FinMMEval server