cs.IR · 2026-07-03 · No. 42

Information Retrieval, 2026-07-03.

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

    Bringing Agentic Search to Earth Observation Data Discovery

    Minghan Yu, Youran Sun, Chugang Yi, Yixin Wen, Haizhao Yang

    cs.IR · cs.LG

    NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony. Finding the right one is hard even for domain experts. We present an agentic search system, deployed as a public service for the geoscience community, that takes a natural-language research query and returns the matching datasets and tools. We demonstrate that, in the era of large language models, the...

    arxiv.org/abs/2607.02387 · PDF

  2. 02

    Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts

    Valentin J. J. Kreileder, Johannes Reisinger, Andreas Fischer

    cs.IR · cs.AI · cs.CL

    Retrieval-Augmented Generation (RAG) systems use the question-answering capabilities of Large Language Models (LLMs) to access information outside their parameters. We evaluate if cluster-based semantic chunking improves retrieval and answer quality compared to fixed-size and recursive chunking evaluating on long, structured academic theses using the Retrieval Augmented Generation Assessment (RAGAs) framework. RAGAs based faithfulness shows...

    arxiv.org/abs/2607.01852 · PDF

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