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cs.CV2025
Controllable Hybrid Captioner for Improved Long-form Video Understanding
Kuleen Sasse, Efsun Sarioglu Kayi, Arun Reddy
Video data, especially long-form video, is extremely dense and high-dimensional. Text-based summaries of video content offer a way to represent query-relevant content in a much mor…
cs.LG2025
Sparse Autoencoder Features for Classifications and Transferability
Jack Gallifant, Shan Chen, Kuleen Sasse +3
Sparse Autoencoders (SAEs) provide potentials for uncovering structured, human-interpretable representations in Large Language Models (LLMs), making them a crucial tool for transpa…