2 papers
cs.RO2026
ROSER: Few-Shot Robotic Sequence Retrieval for Scalable Robot Learning
Zillur Rahman, Eddison Pham, Alejandro Daniel Noel +1
A critical bottleneck in robot learning is the scarcity of task-labeled, segmented training data, despite the abundance of large-scale robotic datasets recorded as long, continuous…
cs.CV2026
Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Test-Time Scaling
Zillur Rahman, Alex Sheng, Cristian Meo
While large-scale datasets have driven significant progress in Text-to-Video (T2V) generative models, these models remain highly sensitive to input prompts, demonstrating that prom…