2 papers
cs.AI2026
SayNext-Bench: Why Do LLMs Struggle with Next-Utterance Anticipation?
Yueyi Yang, Haotian Liu, Fang Kang +4
We explore the use of large language models (LLMs) for next-utterance anticipation in human dialogue. Despite recent advances in LLMs demonstrating their ability to engage in natur…
cs.CV2026
Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding
Xuezhen Tu, Jingyu Wu, Fangyu Kang +4
Spatio-Temporal Video Grounding requires jointly localizing target objects across both temporal and spatial dimensions based on natural language queries, posing fundamental challen…