cs.IR · 2026-09-02 · No. 103

Information Retrieval, 2026-09-02.

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

01 — The papers

3 entries
  1. 01

    MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval

    Debanjan Mahata, Atharva Tendle, Daniel Preotiuc-Pietro, Yong Zhuang, Ozan Irsoy

    cs.IR · cs.AI · cs.CL · cs.CV · cs.LG

    Retrieval over visually rich documents has a representation problem: important content often lives in tables, charts, figures, and layout relations that plain OCR linearizes, corrupts, or omits. ColPali-family visual retrievers address this with patch-level multi-vector indexes and late-interaction scoring, keeping image-derived retrieval on the query-time serving path. We introduce MIDR (Multimodal Indexing for Document Retrieval), a...

    arxiv.org/abs/2609.01316 · PDF

  2. 02

    From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs

    Jie Chen, Xiangqian Yu, Yanchao Lian, Tan Lu, Run Yang, Zhengchun Shang, Xing Wang, Cheng Chen, Ke Hu, Qiang Li,...

    cs.IR · cs.AI · cs.LG

    Scaling Transformers has driven large gains in language modeling, but transplanting this to behavior-sequence modeling in production ranking is challenging: recommendation differs in signal quality, where behavior sequences are noisy, temporally irregular, and sparsely supervised, and in computation asymmetry, where each request scores many candidates against one shared user history under tight latency budgets. We propose ReST, a...

    arxiv.org/abs/2609.01240 · PDF

  3. 03

    Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

    Evgeniia Kositsyna, Jorge Lloret-Gazo

    cs.IR · cs.LG · cs.NE

    Price extraction from websites is a key task for market monitoring, price comparison, and business analytics in e-commerce. Existing approaches can be broadly divided into four groups, and understanding their trade-offs in accuracy and scalability is essential for selecting suitable extraction strategies. Classical methods rely on manually written wrappers and rule induction from labeled pages, offering high accuracy but adapting poorly to...

    arxiv.org/abs/2609.01030 · PDF

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