Learning-based memory systems for self-evolving LLM agents face two tightly coupled challenges. First, trajectory-indexed utilities grow with the interaction history, thereby dispersing limited feedback over an ever-expanding state space. Second, because trajectory-level rewards are jointly assigned to co-retrieved mem...
Yi Yang, Zhen-Nan Chen, Yihong Zhuang et al.· 0 citations
A trajectory engine is built that reconstructs real livestream sessions into structured causal supervision, yielding over 320 hours of optimization trajectories and a human-reviewed benchmark of 275 clips and 13,812 decision intervals, establishing livestream assistance as selective participation in a shared social str...
Shu-Jian Gao, Jia-Mei Yan, Yu-Chen Yang et al.· 0 citations
A Motion-Aware Frame Sampling (MAFS) strategy for constructing motion-aware captions enables more effective utilization of video frames and improves captioning quality for large-motion videos.
Ke-Pan Nan, Tie-Han Fan, Rui Xie et al.· International Journal of Com...· 1 citation
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