Weekly IR Frontiers: IBM Proposes Hierarchical BM25 for Billion-Document Scale
_reachsumit · x · 2026-08-10
A curated list of the top Information Retrieval papers of the week (Vol.168), highlighting:
- Hierarchical BM25: IBM Research proposes a two-level index using LDA clustering to solve the 400GB memory footprint and slow queries of flat BM25 at a billion-document scale.
- Query-Adaptive Vector Search: Amazon introduces a robust vector search policy.
- Reranking for RAG: Liu et al. present rubric-guided reranking for deep research and RAG.
- Generative Retrieval: Snap Inc. explores LLM-based generative retrieval for content recommendation.
- Boolean Retrieval: Wang et al. exploit structure-aware Boolean retrieval for deep-research agents.
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