1.4 KiB
1.4 KiB
Paper: Profile-Then-Reason: Bounded Semantic Complexity for Tool-Augmented Language Agents
type: paper title: "Profile-Then-Reason: Bounded Semantic Complexity for Tool-Augmented Language Agents" authors: Paulo Akira F. Enabe year: 2026 venue: arXiv url: https://arxiv.org/abs/2604.04131 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-04-05 updated_at: 2026-04-05 status: queued relevance: high topics:
- agent-evaluation
- rag
- reasoning
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.AI related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 16 collection_queries: language-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: language-agent
- inferred topics: agent-evaluation, rag, reasoning, tool-use, workflow-agent
- arXiv categories: cs.AI
- 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?