Scalable Update Strategies for Production LLM Recommendation Systems, Cost-Aware Retrieval-Augmented Reasoning, and More!

Vol.127 for Oct 20 - Oct 26, 2025

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

This week’s newsletter highlights the following research:

1. Cost-Efficient Retrieval-Augmented Generation through Reinforcement Learning and Adaptive Retrieval, from Microsoft

2. A Comprehensive Survey of RL-Driven Agentic Search Systems, from Lin et al.

3. Semantic Alignment of Collaborative Filtering Embeddings with Language Models, from Wang et al.

4. Cost-Effective Adaptation of LLM Recommendation Systems Through Hybrid Fine-tuning and RAG, from Google

5. Enhancing Lightweight Dense Retrievers with Single-Layer Mixture-of-Experts, from the University of Milano-Bicocca

6. A Survey of Multimodal RAG Approaches for Visually Rich Document Understanding, from Gao et al.

7. Learning to Transform Retrieved Knowledge into Structured Representations for Enhanced LLM Reasoning, from Wu et al.

8. A Modular Framework for Transparent, Steerable, and Scalable Enterprise Deep Research, from Salesforce AI Research

9. Self-Reflective Reinforcement Learning for Tool-Augmented Question Answering, from Tsinghua University

10. A Systematic Comparison of Prompting and Reinforcement Learning for Query Augmentation, from Xu et al.