Scaling recursive self-improvement requires additional computation to produce useful research progress in reaching persistent objectives. Intuitively, more researcher agents can explore more hypotheses, but early evaluation scores might misrepresent their promise, shared findings could lose their applicability conditio...
Wen-Hao Zhou, Jia-Jun Song, Hai-Tao Wang et al.· 0 citations
Video analytics is ubiquitous in modern society, and the emergence of Multimodal Large Language Models (MLLMs) has made its application even more extensive. A common way to support MLLM-based video analytics is to continuously stream video to the cloud and then extracts visual features and samples frames for analysis....
Kai-Jie Xiao, Yi Gao, Wei Dong· Proceedings of the ACM on In...· 0 citations
AReaL-DTE is presented, a snapshot-free Delta Transfer Engine that translates inference-visible weight sparsity into end-to-end system efficiency and achieves speedups of up to 19.9x over ByteCheckpoint and 3.2x over PULSE across clusters, and up to 7.6x and 7.4x within a cluster.
Yingqi Peng, Jia-Wei Zhang, Wenhao Zhou et al.· 1 citation
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