Asia
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models Yibo Miao
The recent development of Sora leads to a new era in text-to-video (T2V) generation. Along with this comes the rising concern about its safety risks.
Provable Partially Observable Reinforcement Learning with Privileged Information Yang Cai
Partial observability of the underlying states generally presents significant challenges for reinforcement learning (RL).
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
In Reinforcement Learning (RL), an agent engages with an environment in a sequential manner.
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback Y unchang Y ang 1 Han Zhong 1 Tianhao Wu2 Bin Liu 3
More examples include but are not limited to robotics (Mahmood et al.,
Generalizable Implicit Motion Modeling for Video Frame Interpolation
Motion modeling is critical in flow-based Video Frame Interpolation (VFI).
Learning to Tokenize for Generative Retrieval Weiwei Sun 1, Lingyong Y an
Document retrieval plays an essential role in web search applications and various downstream knowledge-intensive tasks by identifying relevant documents to satisfy users' queries.
