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. The FinEval 2026 results are listed under Awards below.

// Proceedings

ACL Anthology →

All FinNLP 2026 papers and FinEval 2026 system papers.

// Photo wall

Photos from the day →

Talks, posters, the panel, the awards and FinNLP Night.

// Next edition

FinNLP 2027 →

At ACL 2027 in Kyoto, Japan. Workshops on 18–19 August 2027.

FinNLP 2026 in Numbers

Submissions	172, from 470 authors in 36 countries and regions
Accepted papers	75: 12 orals, 49 posters and 14 FinEval system papers
Authors of accepted papers	251, from 27 countries and regions
Papers with an industry co-author	33 of 75
Reviews	466, by 192 reviewers and 13 area chairs
Workshop day	28 October 2026, Room F7, HUNGEXPO, Budapest, and online

The full schedule, with talk abstracts and all oral and poster papers, is in the programme.

Awards

Domyn Best Paper Award

Chosen by an independent committee of four senior researchers, who read the anonymous versions of all twelve oral papers. None of the organizers voted.

How LLM Financial Agents Respond to Stated Affect Depends on Their Assigned Role
Da Chen Lian, Yu-Lin Chang, Yen-Hsi Huang, Shu-Kai Hsieh
ShiJianBench: From Dialogue to Decision for Long-Horizon Evaluation of Investment Advisors
Jie Gong, Maowei Jiang, Zhiwei Liu and colleagues

FinEval 2026 Shared Task

Task 1, Greek Financial NER: ADML (1st), mojo28 (2nd), DDUN (3rd)
Task 2, Japanese Implicit Communication Recognition: ADML, Fin_Agent and Token Crit (tied 1st)
Task 3, Multilingual Financial Q&A: HX (1st), ADML (2nd), AhsanBLAH (3rd)

The task overview and all system papers are in the proceedings.

Thank you

To our speakers and panelists, to Bloomberg for FinNLP Night and Domyn for the Best Paper Award, to the reviewers, area chairs, award committee and FinEval organizers, and to everyone who took part in Budapest and online.