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Explore a comprehensive analysis of deep research capabilities in AI systems through new findings from ByteDance researchers. Examine how large language models equipped with web-retrieval tools compare against OpenAI's Deep Research mode and Google's research capabilities. Learn about the methodology used to evaluate state-of-the-art LLMs by augmenting them with external search engines and link readers, specifically utilizing SerpAPI for Google Search access and Firecrawl for web page retrieval in Markdown format. Discover insights from the ReportBench evaluation framework that assesses deep research agents through academic survey tasks, providing crucial data on the trustworthiness and effectiveness of AI-powered research tools. Gain understanding of how researchers integrated search and link-reading capabilities using native function call interfaces to enable comprehensive web-retrieval evaluation across multiple AI models.
