Extending GraphRAG to Millions of Documents, Scaling Recommender Models to One Billion Parameters, and More!

Vol.114 for Jul 21 - Jul 27, 2025

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

This week’s newsletter highlights the following research:

1. Scaling Transformer-Based Recommender Systems to Billion-Parameter Models, from Yandex

2. Efficient Knowledge Graph Integration for Web-Scale RAG Systems, from Huawei

3. A Comprehensive Study of Data Splitting Strategies for Sequential Recommender System Evaluation, from Gusak et al.

4. Scaling Deep Learning Recommendation Models to One Billion Parameters with RankMixer Architecture, from ByteDance

5. A Generic Framework for Multi-Behavior Data Augmentation in Sequential Recommendation, from Shenzhen University

6. A Deep Dive into Retrieval-Augmented Generation for Code Completion on WeChat's Enterprise Codebase, from Tencent

7. A Large-Scale Evaluation of Prompt Engineering Techniques for LLM-based Recommendation Systems, from NEC

8. How Cross-Encoders Process Query-Document Relevance Signals, from Vast et al.

9. Detecting Similarity-Disrupting Tokens in Text Embedding Models, from Chen et al.

10. Retrieval-Augmented Generation for Missing Attribute Prediction, from Amazon