agent/papers/items/2026-2604-19821-jtpro-a-joint-tool-prompt-reflective-optimization-framework-for-language-agents.md

Paper: JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents

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type: paper title: "JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents" authors: Sandip Ghoshal, Anshul Mittal, Jyotika Singh, Miguel Ballesteros, Weiyi Sun, Fang Tu, Shailender Singh, Yassine Benajiba, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2604.19821 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-04-20 updated_at: 2026-04-20 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 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, computer-use, reasoning, tool-use
• arXiv categories: cs.AI, cs.SE
• 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/2604.19821