cs.IR · 2026-08-20 · No. 90

Information Retrieval, 2026-08-20.

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

    rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation

    Minh Hoang Nguyen, Tung Le, Huy Tien Nguyen

    cs.IR · cs.AI · cs.CL

    Large language models can improve recommendation quality by reasoning explicitly over user history and candidate items - for example, extracting a user's preferences or explaining why one item fits better than another - rather than mapping history directly to a ranked list. This reasoning, however, is expensive to repeat on every ranking request and, once produced, is typically consumed once and discarded, leaving it neither reusable across...

    arxiv.org/abs/2608.18952 · PDF

  2. 02

    SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation

    Jiandong Ding, Huijie Qin, Tiandeng Wu, Yi Cao

    cs.IR · cs.AI

    Semantic-ID mappings are reusable interfaces between item tokenizers and generative recommenders, yet released mappings rarely state whether they are coherent, what structure they expose, how generated paths resolve, or what must be revalidated after a refresh. SIDScope is a source-traced diagnostic resource for these decisions. It normalizes item-to-code artifacts, verifies provenance and joins, profiles mapping structure, compares paired...

    arxiv.org/abs/2608.18779 · PDF

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