agent/papers/items/2026-2607-12215-fine-tuned-multi-agent-framework-for-detecting-ocean-in-life-narratives.md

Paper: Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life Narratives

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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