Dear All,
I hope this email finds you well. We are excited to announce a thrilling opportunity for all machine learning and finance enthusiasts at Financial Misinformation Detection (FMD) Challenge at FinNLP-FNP-LLMFinLegal Workshop @ COLING 2025!
In the financial sector, the accuracy of information is crucial for the integrity of decisions, market operation, risk management, compliance, and trust establishment. However, the proliferation of digital media has escalated the spread of financial misinformation. The advent of LLMs in finance has introduced transformative potential for analysis, prediction, and decision-making. In this challenge, participants are expected to engineer LLMs capable of not only identifying fraudulent financial content but also generating clear, concise explanations that elucidate the reasoning behind the classification by levering claims and contextual information.
Below is relevant information:
Contest Name: Financial Misinformation Detection Challenge
Contest Website: https://coling2025fmd.thefin.ai/
Team Registration: https://forms.gle/vh9MSQa31HwrS7Xm9
Training Dataset: https://huggingface.co/datasets/lzw1008/COLING25-FMD/tree/main
Schedule: from Aug 15 to Dec 13, 2024
· Training dataset release: Sept 15, 2024
· System submission deadline: Nov 7, 2024
· Paper submission deadline: Nov 25, 2024
· Notifications of Acceptance: Dec 5, 2024
· Camera-ready Paper Deadline: Dec 13, 2024
Teams that participate in our contest can also attend the FinNLP-FNP-LLMFinLegal Workshop at COLING 2025 Conference, which will be held on January 19-20, 2025. Winners will be invited to present their work at the workshop. We welcome participants from all backgrounds and fields to join. Come to our challenge, bring brilliant ideas, and make your mark on the Financial Misinformation Detection Challenge!
If you have any questions or need further information, please feel free to join our discord or contact us at fmd.f...@gmail.com.
We look forward to your participation and your brilliant contributions to this event.
Best regards,
FMD Challenge Team