Architectural Evolution of Information Retrieval Systems, The Impact of Context Size and Model Selection in RAG Systems and More!

Vol.92 for Feb 17 - Feb 23, 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 Survey of Knowledge Integration Techniques for Specialized Large Language Models, from Song et al.

2. A Context-Aware Framework for Generative Recommendation, from Google DeepMind

3. A Survey of Information Retrieval Model Architectures, from Xu et al.

4. The Impact of Context Size and Model Selection in Retrieval-Augmented Generation, from the Technical University of Munich

5. Extracting Knowledge Graphs from Plain Text with Language Models, from Mo et al.

6. Efficient Scaling Laws for Industrial Recommendation Systems, from NetEase

7. Revisiting Information Retrieval in the Era of Multi-Agent Systems, from Technion

8. A Survey of LLM-Powered Agents in Recommender Systems, from Peng et al.

9. Improving Retrieval-Augmented Generation with Self-Generated Training Data, from Meta

10. Enhancing Dense Retrieval through Step-by-Step Reasoning in Large Language Models, from Ji et al.