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cs.AI2026
DyadMem: A Long-Term Memory Benchmark of How Agents Work with Users
Yifei Tao, Xinyu Zhong, Henry Hengyuan Zhao +5
Long-term agents must remember not only what is true about a user, but also how a particular agent should work with that user as their shared history evolves. Existing benchmarks p…
cs.AI2026
SpecPrefetch: Parameter-Efficient Expert Prefetching for Sparse MoE Foundation Models
Jinwei Kong, Runqi Meng, Fanyi Wang +4
Sparse Mixture-of-Experts (MoE) models expand foundation model capacity through conditional expert activation, but their full expert pools remain difficult to deploy under limited…