Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen)

In conjunction with IJCAI, Aug 3rd, Jeju, South Korea

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Introduction

The aim of this workshop is to provide a forum where international participants share knowledge on applying NLP to the FinTech domain. Recently, analyzing documents related to finance and economics has attracted much attention in the AI community. In the financial field, FinTech is a new industry that focuses on improving financial activity with technology. Thus, in order to bridge the gap between the NLP research and the financial applications, we organize FinNLP workshop series. One of the expected accomplishments of FinNLP is to introduce insights from the financial domain to the NLP community. With the sharing of the researchers in FinNLP, the challenging problems of blending FinTech and NLP will be identified, and the future research direction will be shaped. That can broaden the scope of this interdisciplinary research area.

Agent AI is one of the important research directions after we had significant success with multimodal large language models. It leads to the chance of using AI for business analysis, and also increases the uncertainty in scenario planning. Scenario planning finds its most potent applications in fields rife with uncertainty. Long-term strategic planning, geopolitics, and nascent industries are arenas where the linearity of traditional forecasting proves inadequate. While scenario planning isn't novel, its confluence with modern technological tools like NLP brings forth exciting prospects. With the rise of generative NLP technologies, as highlighted by recent research, there's an evolving landscape where scenario planning can be further refined, automated, and diversified. NLP's capability to parse vast textual datasets, identify emerging patterns, and even generate detailed narratives makes it a formidable tool in the scenario planner's toolkit.

The modern era, with its rapid technological advancements, geopolitical flux, and ever-changing socio-economic landscapes, encapsulates the VUCA paradigm - Volatile, Uncertain, Complex, and Ambiguous. Within this framework, traditional predictive methodologies, which often rest on linear extrapolations of existing trends, fall short. Unlike predictive models that seek precision based on historical and current data, scenario planning delves into a different realm. It doesn't merely project an extrapolated future; it crafts multiple narratives, each shedding light on a potential future. Rather than trying to predict a single path forward, scenario planning embraces the multifaceted, uncertain nature of the future. It takes into account various driving forces and uncertainties, crafting stories that present alternative futures, some of which may even seem improbable. This approach isn't about predicting the right future but about being prepared for a spectrum of possibilities. 

Important Dates

Submission System: https://easychair.org/conferences/?conf=finnlpagentscen2024

Time zone: Anywhere On Earth (AOE) 

The proceedings will be published at ACL Anthology. 

Contact - finnlp@nlg.csie.ntu.edu.tw