SOURCE-LINKED INTELLIGENCE
Reproducing Omitted Temporal Expressions in Japanese News for Retrieval-Augmented Applications
News articles often contain omitted temporal expressions, such as day-only or month-only mentions, which must be interpreted with reference to the publication date. When such articles are indexed or processed as standalone text in search and retrieval-augmented generation (RAG) systems, these omissions can cause temporal mismatches and unstable interpretation by large language models. We focus on reproducing omitted temporal expressions as concrete dates or intervals using the publication date as external context before the articles are indexed for search and RAG applications. Specifically, bu
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T00:49:27.000Z
First collected: 2026-09-20T19:52:05.078Z. This is not the publication date.