agent/papers/items/2025-2510-14548-llm-agents-beyond-utility-an-open-ended-perspective.md

Paper: LLM Agents Beyond Utility: An Open-Ended Perspective

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type: paper title: "LLM Agents Beyond Utility: An Open-Ended Perspective" authors: Asen Nachkov, Xi Wang, Luc Van Gool year: 2025 venue: arXiv url: https://arxiv.org/abs/2510.14548 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-10-16 updated_at: 2025-10-16 status: queued relevance: high topics:

• memory
• planning
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: function-calling

One-line Takeaway

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

Why Collected

• matched queries: function-calling
• inferred topics: memory, planning, reasoning, tool-use
• arXiv categories: cs.AI
• 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/2510.14548