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agent/papers/items/2026-2607-12215-fine-tuned-multi-agent-framework-for-detecting-ocean-in-life-narratives.md
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# Paper: Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life Narratives
---
type: paper
title: Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life Narratives
authors: Rasiq Hussain, Darshil Italiya, Joshua Oltmanns, Mehak Gupta
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.12215
code_url:
source: arxiv
collected_at: 2026-07-27
published_at: 2026-07-13
updated_at: 2026-07-13
status: queued
relevance: high
topics:
- agent-evaluation
- multi-agent
- reasoning
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.CL
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 13
collection_queries: multi-agent-llm
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: multi-agent-llm
- inferred topics: agent-evaluation, multi-agent, reasoning
- arXiv categories: cs.CL
- collection score: 13
## 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/2607.12215