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New Benchmark Evaluates Search Agent Performance on Daily Tasks

By PulseAugur Editorial · [1 sources] ·

Researchers have developed DailyReport, a new benchmark designed to evaluate the capabilities of search agents (SAs) on realistic, open-ended daily search tasks. Unlike previous benchmarks that focused on specialized scenarios, DailyReport includes 150 tasks with over 3,500 rubrics that reflect current user information needs. The benchmark provides interpretable scores by evaluating tasks through cascaded rubrics across different dimensions, and initial tests on 17 agent systems indicate that current SAs do not yet meet user expectations. AI

RANK_REASON The cluster contains a research paper introducing a new benchmark for evaluating AI systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Benchmark Evaluates Search Agent Performance on Daily Tasks

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The cluster contains a research paper introducing a new benchmark for evaluating AI systems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jingxuan Han, Wei Liu, Mingyang Zhu, Youpeng Wang, Ziwen Wang, Lin Qiu, Xuezhi Cao, Xunliang Cai, Zheren Fu, Licheng Zhang, Zhendong Mao ·

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

    arXiv:2606.12871v1 Announce Type: new Abstract: Search Agents (SAs) typically leverage large language models (LLMs) to support complex information-seeking tasks by autonomously exploring web sources and synthesizing information into comprehensive responses. For SAs evaluation, pr…

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