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#deep-search News & Analysis

2 articles tagged with #deep-search. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Apr 137/10
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EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools

Researchers introduce Q+, a structured reasoning toolkit that enhances AI research agents by making web search more deliberate and organized. Integrated into Eigent's browser agent, Q+ demonstrates consistent benchmark improvements of 0.6 to 3.8 percentage points across multiple deep-research tasks, suggesting meaningful progress in autonomous AI agent reliability.

🏢 Anthropic🧠 GPT-4🧠 GPT-5
AINeutralarXiv – CS AI · Jun 116/10
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TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search

TreeSeeker is a new inference-time framework that improves deep web search by using tree-structured trial-and-error navigation. The system balances exploration and exploitation through textual UCB signals, demonstrating consistent improvements over baseline models on multiple benchmarks.