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New agent Mind2Report synthesizes expert commercial reports

Researchers have introduced Mind2Report, a cognitive deep research agent designed to synthesize expert-level commercial reports from vast web data. This agent addresses limitations in current systems by probing fine-grained commercial intent to create a structured outline, recursively exploring web sources, and distilling validated evidence into a research memory. The outline and memory co-evolve, allowing for iterative report synthesis that enhances context efficiency and report comprehensiveness. To evaluate such agents, the team also developed QRC-Eval, a benchmark comprising 200 real-world commercial tasks. AI

IMPACT This research advances the development of deep research agents for complex commercial analysis.

RANK_REASON The cluster contains a research paper detailing a new agent and benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

New agent Mind2Report synthesizes expert commercial reports

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27 / 100
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Tool
The cluster contains a research paper detailing a new agent and benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Mingyue Cheng, Daoyu Wang, Qi Liu, Shuo Yu, Xiaoyu Tao, Yuqian Wang, Chengzhong Chu, Yu Duan, Mingkang Long, Enhong Chen ·

    Mind2Report: Expert-Level Commercial Report Synthesis via Cognitive Deep Research Agent

    arXiv:2601.04879v2 Announce Type: replace Abstract: Synthesizing informative commercial reports from massive and noisy web sources is critical for high-stakes business decisions. Although recent deep research agents (DRAs) achieve notable progress, their reports remain limited in…