agent/papers/items/2026-2603-24257-memory-augmented-vision-language-agents-for-persistent-and-semantically-consiste.md

Paper: Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object Captioning

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type: paper title: Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object Captioning authors: Tommaso Galliena, Stefano Rosa, Tommaso Apicella, Pietro Morerio, Alessio Del Bue, Lorenzo Natale year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.24257 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-03-25 updated_at: 2026-03-30 status: queued relevance: high topics:

• agent-evaluation
• embodied-agent
• memory methods:

benchmarks:

models:

datasets:

• cs.CV related_concepts:

related_jobs:

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related_projects:

collection_score: 17 collection_queries: language-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, embodied-agent, memory
• arXiv categories: cs.CV
• collection score: 17

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 queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2603.24257