agent/papers/items/2026-2606-27632-yuvion-llm-an-adversarially-aware-large-language-model-for-content-and-ai-safety.md

Paper: Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety

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type: paper title: "Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety" authors: Ting Ma, Xiufeng Huang, Benlei Cui, Xiaowen Xu, Shikai Qiu, Ruijie Jian, Hongxing Li, Guanghui Wang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.27632 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-26 updated_at: 2026-06-26 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• planning
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: tool-use

One-line Takeaway

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

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, agent-safety, planning, reasoning, tool-use
• arXiv categories: cs.CL
• collection score: 14

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/2606.27632