A Systematic Review of the State of RAG, Are Multimodal Embeddings Truly Beneficial for Recommendation? and More!

Vol.117 for Aug 11 - Aug 17, 2025

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

This week’s newsletter highlights the following research:

1. Learning When and How to Parallelize Information Retrieval in LLM Reasoning, from NVIDIA

2. A Systematic Study of Whether Multimodal Embeddings Are Truly Beneficial for Recommendation, from Ye et al.

3. A Unified Training and Inference Paradigm for Efficient Recommendation Systems, from Meta

4. Improving Dense Retrieval Consistency Across Semantically Equivalent Queries, from Amazon

5. A Data-Driven Approach to Cold-Warm Transition Points in Recommender Systems, from AIRI

6. A Quantile-Based Approach for Optimizing Top-K Ranking Metrics in Recommender Systems, from Yang et al.

7. Eliminating Pre-built Graphs through Adaptive Logic-Guided Retrieval for RAG, from PolyU

8. Profile-Aware LLM-as-a-Judge for Podcast Recommendations, from Spotify

9. Efficient Transformer Architecture for Scalable Generative Recommendation Models, from Ye et al.

10. A Systematic Literature Review of Retrieval-Augmented Generation, from The Queen's University of Belfast