4 papers
FinCap: Topic-Aligned Captions for Short-Form Financial YouTube Videos
Siddhant Sukhani, Yash Bhardwaj, Riya Bhadani +3
We evaluate multimodal large language models (MLLMs) for topic-aligned captioning in financial short-form videos (SVs) by testing joint reasoning over transcripts (T), audio (A), a…
VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations
Michael Galarnyk, Veer Kejriwal, Agam Shah +4
Social media has amplified the reach of financial influencers known as "finfluencers," who share stock recommendations on platforms like YouTube. Understanding their influence requ…
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
Agam Shah, Siddhant Sukhani, Huzaifa Pardawala +24
Central banks around the world play a crucial role in maintaining economic stability. Deciphering policy implications in their communications is essential, especially as misinterpr…
How Inclusively do LMs Perceive Social and Moral Norms?
Michael Galarnyk, Agam Shah, Dipanwita Guhathakurta +2
This paper discusses and contains offensive content. Language models (LMs) are used in decision-making systems and as interactive assistants. However, how well do these models maki…