A Multi-Query Parallel RAG Framework, Zero-Shot Text Embeddings for Recommendation and Search, and More!

Vol.112 for Jul 07 - Jul 13, 2025

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

This week’s newsletter highlights the following research:

1. Multi-Query Parallel Retrieval-Augmented Generation with Reinforcement Learning, from Tan et al.

2. Zero-Shot Text Embeddings for Recommendation and Search, from Attimonelli et al.

3. Set-Wise Passage Selection for Retrieval-Augmented Generation, from LG AI Research

4. Integrating User Intent Through Query Context in Transformer-Based Sequential Recommendation Systems, from Zalando

5. Unified Text-Image Retrieval through Modified Vision-Language Architecture, from NVIDIA

6. Achieving Pairwise Ranking Performance with Pointwise Efficiency Through Strategic Distillation, from Google

7. Multi-Intent Session-Based Recommendation with Pluggable LLM Semantics, from Chen et al.

8. Bridging Knowledge Graphs and Large Language Models for Enhanced Recommendation, from the University of Glasgow

9. Rethinking ID Features in Multimodal Recommendation, from Li et al.

10. Investigating RAG System Sensitivity to Real-World Query Variations, from Perçin et al.