Scaling Multilingual Encoders to 1800+ Languages, Bridging the Gap Between Academic and Industrial Recommenders, and More!

Vol.121 for Sep 08 - Sep 14, 2025

Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.

This week’s newsletter highlights the following research:

1. A Modern Multilingual Encoder for 1833 Languages with Rapid Low-Resource Learning, from Johns Hopkins University

2. A Comprehensive Survey of Query Expansion in the Era of Large Language Models, from Li et al.

3. A Comprehensive Survey of Long-Document Retrieval, from Li et al.

4. A Three-Stage Pipeline for Complex Query Understanding in Information Retrieval, from Zhong et al.

5. Understanding the Divide Between Academic Research and Industrial Recommender Systems, from NTU

6. Dynamic Knowledge Boundary Detection for Efficient Retrieval-Augmented Generation, from Xidian University

7. Evaluating Numerical Understanding in Text Embedding Models, from HKUST

8. Why Recommender Systems Research Remains Fundamentally Flawed, from Said et al.

9. Comparative Analysis of One-Shot vs. Iterative Retrieval Strategies for RAG Systems, from Lin et al.

10. A Framework for Immersion-Aware Short Video Recommendations, from Tsinghua University