1.5 KiB
1.5 KiB
Paper: Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
type: paper title: "Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents" authors: Abhilasha Lodha, Mahsa Pahlavikhah Varnosfaderani, Abir Chakraborty, Abhinav Mithal year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.10209 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-08 updated_at: 2026-06-08 status: queued relevance: high topics:
- agent-evaluation
- planning
- rag
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.AI
- cs.LG
- cs.SE related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 16 collection_queries: autonomous-agent-llm
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: autonomous-agent-llm
- inferred topics: agent-evaluation, planning, rag, tool-use, workflow-agent
- arXiv categories: cs.AI, cs.LG, cs.SE
- collection score: 16
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
queuedtoskimmedorsummarized?