- June 1, 2023: ACM MM 2023 Workshop Website Open
- August 10, 2023: Submission Deadline
- August 15, 2023: Paper notification
- August 18, 2023: Camera-Ready Deadline
With more than half of all urban households with some investments in financial markets in the form of stocks, cryptocurrencies, savings, and retirement funds, there is great interest in using unstructured open-source text, audio, and videos for financial forecasting. Remarkable advances in deep multimodal learning have made it possible to utilize unconventional multimedia such as textual reports, news articles, streaming video content, social media posts, customer web searches, etc for identifying profit creation opportunities in the market. However, there are several challenges: (1) large volumes of chaotic data, (2) combining text, audio, video, social media posts, and other modalities are non-trivial, (3) long-context of media spanning multiple hours (4) user sentiment and media hype-driven stock/crypto price movement and volatility, (5) difficulty in automatically capturing market moving events using traditional statistical methods (6) speculative trading leading to massive losses and bankruptcies. To address all these major challenges, it is critical that we develop more reliable and accurate AI techniques for financial forecasting that can handle the inherent complexity of the task. The recent success of Generative AI and Multimodal Large Language Models (LLMs) such as ChatGPT, GPT-3/4, and Stable Diffusion has unlocked immense potential to utilize large volumes of data for solving financial predictions. We propose the ACM Multimedia-23 Workshop on Generative AI and Multimodal LLM for Finance (GenerativeAI4Finance). The main goal of this workshop is to bring together researchers from various domains such as natural language processing, computer vision, speech recognition, machine learning, statistics, and quantitative analysis to explore Generative AI and Multimodal LLMs to solve financial forecasting and prediction problems.
Please refer to the call for papers for more information.
All deadlines are end of day, anywhere on earth (UTC-12).
Contact us: firstname.lastname@example.org