1.4 KiB
1.4 KiB
Paper: ElasticMem: Latent Memory as a Learnable Resource for LLM Agents
type: paper title: "ElasticMem: Latent Memory as a Learnable Resource for LLM Agents" authors: Tao Feng, Chongrui Ye, Tianyang Luo, Jingjun Xu, Xueqiang Xu, Haozhen Zhang, Ge Liu, Jiaxuan You year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.30690 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-29 updated_at: 2026-05-29 status: queued relevance: high topics:
- agent-evaluation
- embodied-agent
- memory
- planning
- rag
- tool-use methods:
benchmarks:
models:
datasets:
- cs.CL related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 19 collection_queries: planning-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: planning-agent
- inferred topics: agent-evaluation, embodied-agent, memory, planning, rag, tool-use
- arXiv categories: cs.CL
- collection score: 19
Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from
queuedtoskimmedorsummarized?