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Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory

Intermediate
Haozhen Zhang, Haodong Yue et al.Feb 5arXiv

BudgetMem is a way for AI helpers to build and use memory on the fly, picking how much thinking to spend so answers are both good and affordable.

#runtime memory extraction#budget-tier routing#reinforcement learning

Locas: Your Models are Principled Initializers of Locally-Supported Parametric Memories

Intermediate
Sidi Lu, Zhenwen Liang et al.Feb 4arXiv

Locas is a new kind of add-on memory for language models that learns during use but touches none of the model’s original weights.

#Locas#parametric memory#test-time training

Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents

Intermediate
Yiming Du, Baojun Wang et al.Dec 23arXiv

Memory-T1 teaches chatty AI agents to keep track of when things happened across many conversations.

#temporal reasoning#multi-session dialogue#reinforcement learning