{"ID":2832051,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.06879","arxiv_id":"2512.06879","title":"WisPaper: Your AI Scholar Search Engine","abstract":"We present \\textsc{WisPaper}, an end-to-end agent system that transforms how researchers discover, organize, and track academic literature. The system addresses two fundamental challenges. (1)~\\textit{Semantic search limitations}: existing academic search engines match keywords but cannot verify whether papers truly address complex research questions; and (2)~\\textit{Workflow fragmentation}: researchers must manually stitch together separate tools for discovery, organization, and monitoring. \\textsc{WisPaper} tackles these through three integrated modules. \\textbf{Scholar Search} combines rapid keyword retrieval with \\textit{Deep Search}, in which an agentic model, \\textsc{WisModel}, validates candidate papers against user queries through structured reasoning. Discovered papers flow seamlessly into \\textbf{Library} with one click, where systematic organization progressively builds a user profile that sharpens the recommendations of \\textbf{AI Feeds}, which continuously surfaces relevant new publications and in turn guides subsequent exploration, closing the loop from discovery to long-term awareness. On TaxoBench, \\textsc{WisPaper} achieves 22.26\\% recall, surpassing the O3 baseline (20.92\\%). Furthermore, \\textsc{WisModel} attains 93.70\\% validation accuracy, effectively mitigating retrieval hallucinations.","short_abstract":"We present \\textsc{WisPaper}, an end-to-end agent system that transforms how researchers discover, organize, and track academic literature. The system addresses two fundamental challenges. (1)~\\textit{Semantic search limitations}: existing academic search engines match keywords but cannot verify whether papers truly ad...","url_abs":"https://arxiv.org/abs/2512.06879","url_pdf":"https://arxiv.org/pdf/2512.06879v3","authors":"[\"Li Ju\",\"Jun Zhao\",\"Mingxu Chai\",\"Ziyu Shen\",\"Xiangyang Wang\",\"Yage Geng\",\"Chunchun Ma\",\"Hao Peng\",\"Guangbin Li\",\"Tao Li\",\"Chengyong Liao\",\"Fu Wang\",\"Xiaolong Wang\",\"Junshen Chen\",\"Rui Gong\",\"Shijia Liang\",\"Feiyan Li\",\"Ming Zhang\",\"Kexin Tan\",\"Junjie Ye\",\"Zhiheng Xi\",\"Shihan Dou\",\"Tao Gui\",\"Yuankai Ying\",\"Yang Shi\",\"Yue Zhang\",\"Qi Zhang\"]","published":"2025-12-07T15:10:20Z","proceeding":"cs.IR","tasks":"[\"cs.IR\",\"cs.AI\"]","methods":"[\"LoRA\",\"Generative Adversarial Network\"]","has_code":false}