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cs.CV2026
Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation
Deepak Sridhar, Yi Li, Kartikeya Bhardwaj +7
Prompt learning is a popular method for adapting foundation models, but learned prompts are typically task-specific and fail to generalize to new classes, domains, or compositions…
cs.CV2026
An Attribute-Based Measure of Video Complexity
Aditya Sarkar, Yi Li, Zihao Wang +8
A new framework for the estimation of the complexity posed by video-question pairs to video-LLMs, Video Attribute-Based Complexity (VideoABC), is proposed. Video complexity is defi…
cs.CV2026
Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction
Aditya Sarkar, Yi Li, Jiacheng Cheng +2
Selective prediction aims to endow predictors with a reject option, to avoid low confidence predictions. However, existing literature has primarily focused on closed-set tasks, suc…