3 papers
cs.CV2025
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…
cs.MM2025
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…
cs.CL2025
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis
Huzaifa Pardawala, Siddhant Sukhani, Agam Shah +7
Fact-checking is extensively studied in the context of misinformation and disinformation, addressing objective inaccuracies. However, a softer form of misinformation involves respo…