cs.IR · 2026-06-02 · No. 13

Information Retrieval, 2026-06-02.

2 new papers in cs.IR. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning

    Zhensheng Wang, Xiaole Liu, Wenmian Yang, Kun Zhou, Yiquan Zhang, Weijia Jia

    cs.IR · cs.AI · cs.CL · cs.LG · cs.MA

    The rapid development of LLMs has significantly advanced tabular question answering, but most systems cannot perform future-oriented numerical prediction. To address this gap, we introduce a novel task, Open-Domain Tabular Question Answering for Future Data Forecasting and Reasoning, and propose the first dataset to cover time-series forecasting and forecast-based reasoning scenarios using real estate data. This task poses challenges in...

    arxiv.org/abs/2606.02433 · PDF

  2. 02

    Rank-Constrained Deep Matrix Completion for Group Recommendation

    Mubaraka Sani Ibrahim, Lehel Csató, Isah Charles Saidu

    cs.IR · cs.AI

    The growing popularity of group activities has increased the need for methods that provide recommendations to groups of users given their individual preferences. Many existing group recommender systems rely on aggregating individual user preferences, but they often struggle with high-dimensional and highly sparse rating data commonly found in real-world scenarios. We propose Group Rank-Constrained Deep Matrix Completion (Group RC-DMC), a...

    arxiv.org/abs/2606.01948 · PDF

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