Direct submissions
New, anonymized papers submitted via OpenReview, reviewed by the FinNLP program committee; must be submitted by August 11, 2026 (AoE).
NLP/CORE Unranked
FinNLP ARR Commitment 2026
11th Workshop on Financial Technology and Natural Language Processing (ARR Commitment)
The FinNLP workshop, organized by ACL SIG-FinTech, is an annual event that bridges AI and NLP communities by focusing on applying natural language processing, machine learning, and large language models to finance, economics, and law. It addresses unique challenges such as multimodal financial documents, compliance, and responsible AI, and has been collocated with major conferences since 2019, with proceedings published in the ACL Anthology.
Key deadlines
Verified September 9, 2026Full paper
August 27, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
August 27, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Pre-reviewed ARR commitments
Papers previously reviewed via ACL Rolling Review (ARR) may be committed to FinNLP 2026 with existing reviews; no additional reviewing required; deadline August 27, 2026 (AoE).
Long Paper
Up to 8 pages, excluding references.
Short Paper
Up to 4 pages, excluding references.
Demo Paper
Up to 4 pages, excluding references.
Non-archival papers
Papers opted out of the ACL Anthology proceedings; authors may submit elsewhere subject to other venues' policies.
Research areas in scope
01
Topics of Interest
Language modeling on financial corpora, including tabular and numerical data, and multi-modal modelingGraph representation learning and mining on financial dataMulti-source knowledge integration and fusionSynthetic and genuine financial datasets and benchmarksTransfer learning applications for financial dataFinancial search and question answering systemsEvent discovery and impact on organizational equity priceESG event discovery, evaluation, and impact assessmentCompliance monitoringCross-disciplinary LLM-based methodologies for financial and legal domainsApplications of LLMs in financial auditing and regulatory reportingEthical implications and bias mitigation in AI applicationsHallucination mitigation and evaluation in LLMsPrivacy concerns and data protection strategiesEnhancing interpretability and explainability of LLM modelsResponsible AI practices and governanceMethods, evaluation metrics, benchmarks, and datasets for LLMs in finance and law
Policies worth checking twice
- All direct submissions must be anonymized following ACL guidelines: no author names, affiliations, acknowledgements, institutional logos, or identifiable URLs.
- Papers must not be under review at another archival venue at submission time; concurrent submissions to other workshops, conferences, or journals must be disclosed.
- arXiv pre-prints are permitted as long as the submission remains anonymous.
- ARR-committed papers must have a finalized ARR meta-review at the time of commitment and must declare any other concurrent commitments.
- Supplementary material (appendices, code, datasets) may be included in the appendix or linked via anonymous repositories; reviewers are not required to consult it.
- Accepted papers are archival by default and published in the ACL Anthology; authors may opt out of proceedings (non-archival).
- No author rebuttal period for direct submissions.
- At least one author of each accepted paper must register and present in person; remote presentation is not guaranteed.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official workshop site10th - EMNLP-2025Call for PapersSIG-FinTechFinNLP WorkshopFinEval Shared Tasks
Last verified September 9, 2026