agent/papers/items/2026-2606-10507-hipif-hierarchical-planning-and-information-folding-for-long-horizon-llm-agent-l.md

Paper: HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning

---

type: paper title: "HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning" authors: Juncheng Diao, Zhicong Lu, Peiguang Li, Yongwei Zhou, Changyuan Tian, Qingbin Li, Rongxiang Weng, Jingang Wang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.10507 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-09 updated_at: 2026-06-09 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• memory
• planning
• reasoning methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 19 collection_queries: agent-evaluation, autonomous-agent-llm, planning-agent

One-line Takeaway

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

Why Collected

• matched queries: agent-evaluation, autonomous-agent-llm, planning-agent
• inferred topics: agent-evaluation, computer-use, memory, planning, reasoning
• arXiv categories: cs.AI
• collection score: 19

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/2606.10507