benchmarking 1conversation agents 1foundation models 1gradient-free updates 1LLM evaluation 1long-term memory 1memory-augmented models 1memory operations 1multimodal learning 1native memory 1
From the 2 of 3 linked papers with an AI index.
3 papers
cs.CL2026
Metis: Memory Foundation Model
Zeyu Zhang, Ziliang Guo, Yihang Sun +14
The paper presents Metis, a memory foundation model that embeds a persistent, dynamically updated memory state within the model backbone, allowing it to store and retrieve informat…
cs.AI2026
MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations
Xixuan Hao, Zeyu Zhang, Zehao Lin +6
The paper introduces MemOps, a benchmark that evaluates long‑term conversational memory by tracking explicit lifecycle operations (remember, forget, update, etc.) rather than only…
cs.CL2026
MemFactory: Unified Inference & Training Framework for Agent Memory
Ziliang Guo, Ziheng Li, Bo Tang +2
Memory-augmented Large Language Models (LLMs) are essential for developing capable, long-term AI agents. Recently, applying Reinforcement Learning (RL) to optimize memory operation…