A Comprehensive Survey of RAG for NLP, LinkedIn's GPU-Powered Retrieval System, and More!

Vol.61 for Jul 15 - Jul 21, 2024

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

This week’s newsletter highlights the following research:

1. GPU-Powered Retrieval System for Billion-Scale Recommendations, from LinkedIn

2. Enhancing LLM Question Answering through Intent-Driven Knowledge Retrieval, from ASU

3. A Comprehensive Survey of Recommender Systems from 2017 to 2024, from Raza et al.

4. A Comprehensive Survey of Retrieval-Augmented Generation Methods for NLP, from Wu et al.

5. Personalizing Retrieval-Augmented Generation with User-Centric Agents, from The University of Passau

6. A Systematic Review of LLM Integration in Recommender Systems, from Lin et al.

7. Efficient Context Compression for Faster and Better Retrieval-Augmented Generation, from Rau et al.

8. Joint Fine-Tuning and Prompt Optimization for Improved Performance in Complex NLP Systems, from Standford University

9. Text-Only Approach to Universal Multimodal Embeddings, from Jiang et al.

10. How Massive Datastores Enhance Language Model Performance, from Shao et al.