1 citations · 1 across the 5 of their papers we have counts for
9 papers
A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks
Ishani Mondal, Aparna Garimella, Ananya Sai +2
Automatically generated videos from scientific papers are increasingly used for education and research dissemination. However, existing evaluation metrics mainly measure visual qua…
Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figures
Ishani Mondal, Javad Baghirov, Jordan Boyd-Graber
Scientific figures compress complex pipelines into a single canvas, yet understanding them requires paper-grounded, step-by-step narration aligned with visual highlights a capabili…
Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility
Ishani Mondal, Shweta Bhardwaj
Generative AI systems achieve impressive performance on standard benchmarks yet fail to deliver real-world utility, a disconnect we identify across 28 deployment cases spanning edu…
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators
Feng Gu, Zongxia Li, Carlos Rafael Colon +3
Event annotation is important for identifying market changes, monitoring breaking news, and understanding sociological trends. Although expert annotators set the gold standards, hu…
CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding
Ishani Mondal, Yiwen Song, Mihir Parmar +4
Long-form visual storytelling requires maintaining continuity across shots, including consistent characters, stable environments, and smooth scene transitions. While existing gener…
SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity
Ishani Mondal, Meera Bharadwaj, Ayush Roy +2
We present SMART-Editor, a framework for compositional layout and content editing across structured (posters, websites) and unstructured (natural images) domains. Unlike prior mode…