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agent/papers/items/2026-2607-14264-monteret-ai-agent-enhancing-multimodal-llms-with-multi-granularity-knowledge-ret.md
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# Paper: MonteRET: AI Agent Enhancing Multimodal LLMs with Multi-granularity Knowledge Retrieval for Chest CT Report Generation
---
type: paper
title: "MonteRET: AI Agent Enhancing Multimodal LLMs with Multi-granularity Knowledge Retrieval for Chest CT Report Generation"
authors: Yi Lin, Yihao Ding, Elana Benishay, Elefterios Trikantzopoulos, David Nauheim, Hanley Ong, Jiang Bian, Hua Xu, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.14264
code_url:
source: arxiv
collected_at: 2026-07-27
published_at: 2026-07-15
updated_at: 2026-07-15
status: queued
relevance: high
topics:
- agent-evaluation
- agent-safety
- computer-use
- rag
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.CV
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 15
collection_queries: ai-agent
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: ai-agent
- inferred topics: agent-evaluation, agent-safety, computer-use, rag
- arXiv categories: cs.CV
- collection score: 15
## 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/2607.14264