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Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Apr 14, 2026 · Artificial Intelligence

Designing High‑Quality Tools for Deep Research Agents: From Search to Python Execution

This article explains how to turn simple API calls into robust, noise‑filtering tools—Search, Visit, Scholar, and Python—by adding domain blacklists, relevance scoring, query‑driven extraction, safety sandboxes, and a unified registry, ultimately boosting the success rate of LLM‑driven research agents.

AI agentsLLM safetyReAct
0 likes · 32 min read
Designing High‑Quality Tools for Deep Research Agents: From Search to Python Execution
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 10, 2026 · Artificial Intelligence

One‑Click from Experiment Logs to Conference‑Ready LaTeX: Google’s PaperOrchestra Changes Paper Writing

PaperOrchestra, Google’s multi‑agent framework, turns raw experiment logs, brief ideas, LaTeX templates and conference guidelines into fully formatted CVPR/ICLR papers, using five coordinated agents, Semantic Scholar verification, PaperBanana figure generation, and a refinement loop that boosts simulated acceptance rates by up to 22% while running in under 40 minutes.

LLM agentsPaperBananaPaperOrchestra
0 likes · 9 min read
One‑Click from Experiment Logs to Conference‑Ready LaTeX: Google’s PaperOrchestra Changes Paper Writing