133 citations · 246 across the 5 of their papers we have counts for
5 papers
Cinéaste: A Fine-grained Contextual Movie Question Answering Benchmark
Nisarg A. Shah, Amir Ziai, Chaitanya Ekanadham +1
While recent advancements in vision-language models have improved video understanding, diagnosing their capacity for deep, narrative comprehension remains a challenge. Existing ben…
Is Cosine-Similarity of Embeddings Really About Similarity?
Harald Steck, Chaitanya Ekanadham, Nathan Kallus
Cosine-similarity is the cosine of the angle between two vectors, or equivalently the dot product between their normalizations. A popular application is to quantify semantic simila…
Towards Perceptually Optimized End-to-end Adaptive Video Streaming
Christos G. Bampis, Zhi Li, Ioannis Katsavounidis +3
Measuring Quality of Experience (QoE) and integrating these measurements into video streaming algorithms is a multi-faceted problem that fundamentally requires the design of compre…
T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System
Chaitanya Ekanadham, Yan Karklin
We develop T-SKIRT: a temporal, structured-knowledge, IRT-based method for predicting student responses online. By explicitly accounting for student learning and employing a struct…
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation
Kevin H. Wilson, Yan Karklin, Bojian Han +1
Estimating student proficiency is an important task for computer based learning systems. We compare a family of IRT-based proficiency estimation methods to Deep Knowledge Tracing (…