FinNLP 2026 — The 11th Workshop on Financial Technology and Natural Language Processing

About

The FinNLP workshop, as the annual event of ACL SIG-FinTech, focuses on applying NLP, Machine Learning, and Large Language Models to finance, economics, and law, aiming to drive interdisciplinary innovation and address unique challenges in these fields. Since 2019, FinNLP has served as a bridge between AI and NLP communities by collocating with major conferences. Its proceedings are available on the ACL Anthology.

FinNLP addresses the complexities of financial documents, which often contain tables and diverse multimodal data, as well as legal and compliance challenges in the financial industry. Key workshop topics include financial language modeling, multi-modal and graph representation learning, conversational agents, financial search and question answering, event discovery, compliance, and responsible AI practices in finance and law.

We have several interesting shared tasks in the collocated event, FinEval. Please refer to the Call for Challenges for more details.

// For Researchers

Call for Papers →

Long, short, and demo paper submissions. Published in the ACL Anthology.

// For Practitioners

Call for Challenges →

FinEval shared tasks — datasets, baselines, and leaderboards.

Topics of Interest

We invite submissions of original contributions on methods, theories, applications, and systems on artificial intelligence, machine learning, natural language processing & understanding, big data, statistical learning, data analytics, and deep learning, with a focus on knowledge discovery in the financial services domain. The scope of the workshop includes, but is not limited to, the following areas:

Language modeling on financial corpora, including tabular and numerical data, and multi-modal modeling
Graph representation learning and mining on financial data
Multi-source knowledge integration and fusion
Synthetic and genuine financial datasets and benchmarks
Transfer learning applications for financial data
Financial search and question answering systems
Event discovery and impact on organizational equity price
ESG event discovery, evaluation, and impact assessment
Compliance monitoring
Cross-disciplinary LLM-based methodologies for financial and legal domains
Applications of LLMs in financial auditing and regulatory reporting
Ethical implications and bias mitigation in AI applications
Hallucination mitigation and evaluation in LLMs
Privacy concerns and data protection strategies
Enhancing interpretability and explainability of LLM models
Responsible AI practices and governance
Methods, evaluation metrics, benchmarks, and datasets for LLMs in finance and law

Important Dates

Submission system opens	July 1, 2026
Direct paper submission deadline	August 11, 2026
Pre-reviewed ARR commitment deadline	August 27, 2026
Author notification	September 1, 2026
Camera-ready deadline	September 10, 2026
Proceedings due to EMNLP workshop chairs	September 25, 2026
FinNLP-2026 @ EMNLP (workshop day)	October 28, 2026
Location	Budapest, Hungary
Submission system	OpenReview

// All deadlines are 11:59 PM Anywhere on Earth (AoE, UTC-12)

Submission

How to Submit

FinNLP 2026 accepts two types of submissions, both through OpenReview:

Direct submission — anonymized PDF reviewed by our program committee. Submit via EMNLP 2026 Workshop FinNLP Submission. Deadline: August 11, 2026 (AoE).
Pre-reviewed ARR commitment — papers already reviewed via ACL Rolling Review. Submit via the FinNLP ARR Commitment form on OpenReview. Deadline: August 27, 2026 (AoE).

See the Call for Papers for full submission instructions, formatting requirements, and policies.

Format

The ACL Template MUST be used for your submission(s). Accepted papers' proceedings will be published at the ACL Anthology.

Long Paper: up to 8 pages, excluding references.
Short Paper: up to 4 pages, excluding references.
Demo Paper: up to 4 pages, excluding references.

Review & Presentation

Direct submissions will be reviewed through a double-blind review process by the FinNLP Program Chairs, Area Chairs, and Reviewers. There will be no author rebuttal period.
Pre-reviewed ARR commitments will be checked by the Program Chairs / Area Chairs for eligibility, scope, and final acceptance.
All direct submissions must be anonymized.
At least one author of each accepted paper should register and present their work at FinNLP 2026.

Open Research Policy

As part of ACL SIG-FinTech's reproducibility and transparency initiative, we will pilot an open research policy for accepted papers.

Authors of accepted papers are strongly encouraged to publicly release their implementation code, model inputs, and model outputs to support reproducibility and future re-evaluation.
For LLM-based approaches, authors are encouraged to release prompts, inference configurations, generated outputs, and evaluation artifacts associated with their experiments whenever possible.
Exceptions may be granted in cases involving legal, licensing, privacy, commercial, or security constraints. Authors requesting exceptions should discuss their situation with the organizers.
Presentation videos from the workshop will be uploaded to the ACL SIG-FinTech YouTube channel for public access and long-term educational use.