DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks

Researchers have introduced DailyReport, an open-ended benchmark designed to evaluate how well AI-powered Search Agents handle the complex, real-world information demands of everyday users, according to a paper posted on arXiv [1]. The benchmark, detailed in a June 2026 submission, comprises 150 open-ended tasks and 3,546 associated rubrics, capturing widely discussed and timely information demands [1]. Unlike prior evaluation methods that focused on specialized tasks unlikely to arise in real-world scenarios, DailyReport decomposes each task into subtasks and evaluates performance using cascade rubrics across disentangled dimensions [1]. This approach yields highly interpretable scores for each dimension, along with a user preference score, through cascade performance attribution and user-centric aggregation [1]. The researchers evaluated 17 agentic systems and found that current systems still fall short of users' expectations [1]. The dataset and code have been made publicly available to facilitate future research [1]. Search Agents typically leverage large language models to autonomously explore web sources and synthesize information into comprehensive responses [2]. The field of artificial intelligence, founded as an academic discipline in 1956, has seen substantial funding and interest growth since 2012, when deep learning began outperforming previous techniques, a trend that accelerated after 2017 with the transformer architecture [4]. Language model benchmarks are standardized tests designed to evaluate performance on tasks such as language understanding, generation, and reasoning, and are maintained by academic institutions, research organizations, and industry players to track progress [3]. The DailyReport benchmark addresses a gap in this ecosystem by providing a test that reflects the open-ended nature of daily search tasks rather than narrow, specialized queries [1]. The paper's release comes amid a broader AI boom in the 2020s, coinciding with advances in generative AI that have enabled the creation and modification of media [4]. High-profile applications of AI now include advanced web search engines, chatbots, and virtual assistants [4]. The DailyReport benchmark provides a new tool for measuring how effectively these systems can meet the nuanced information needs of users, moving beyond coarse task-level rubrics that have limited the interpretability of previous evaluations [1].