cs.IR · 2026-08-04 · No. 74

Information Retrieval, 2026-08-04.

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

    Syntax Meets Semantics: Understanding Scientific Formulae

    Yuni Susanti, Moritz Schubotz

    cs.IR · cs.AI

    Scientific formulae are a fundamental component of scholarly communication, yet their dual nature -- as structured syntax and carriers of semantics -- remains underexplored in scholarly information retrieval. Although prior studies show that jointly modeling syntactic and semantic modalities improves retrieval performance, the relationship between their underlying representations has not been systematically investigated. In this work, we...

    arxiv.org/abs/2608.02457 · PDF

  2. 02

    Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search

    Han Wang, Alex Whitworth, Pak Ming Cheung, Zhenjie Zhang, Krishna Kamath, Xi Chen, Roberto Konow, Kurchi Subhra Hazra

    cs.IR · cs.LG

    Relevance evaluation plays a crucial role in personalized search systems, serving as a guardrail alongside user engagement metrics to ensure that search results align with user queries and intent. While human annotation is the traditional method for relevance evaluation, its high cost and long turnaround time limit its scalability. In this work, we present a VLM-based automated relevance evaluation pipeline deployed within Pinterest Search...

    arxiv.org/abs/2608.02446 · PDF

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