AI RESEARCH
UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information Seeking
arXiv CS.AI
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ArXi:2603.08117v1 Announce Type: new Recent advancements in LLM-based information-seeking agents have achieved record-breaking performance on established benchmarks. However, these agents remain heavily reliant on search-engine-indexed knowledge, leaving a critical blind spot: Unindexed Information Seeking (UIS). This paper identifies and explores the UIS problem, where vital information is not captured by search engine crawlers, such as overlooked content, dynamic webpages, and embedded files. Despite its significance, UIS remains an underexplored challenge. To address this gap, we