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cs.CV2026
Write Once, Query Many: Evolving Compact Reusable Memory for Long Videos
Kerui Chen, Jinglu Wang, Yun Wang +2
Long videos often exceed the context capacity of multimodal large language models (MLLMs), while agentic search repeats costly video processing and grounding for each query. Reusab…
cs.CL2026
TriggerBench: Investigating Prospective Memory for Large Language Models
Tianhua Zhang, Xinjiang Wang, Qianxi Zhang +6
While Large Language Models (LLMs) are increasingly deployed in long interactions, existing evaluations focus predominantly on retrospective memory (RM) via explicit queries. Prosp…