Solving the RAG Inference Bottleneck, An End-to-End Generative Framework for E-commerce Search, and More!

Vol.120 for Sep 01 - Sep 07, 2025

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

This week’s newsletter highlights the following research:

1. An End-to-End Generative Framework for Industrial E-commerce Search, from Kuaishou

2. A Model-Agnostic System for Customizable Deep Research Agent Deployment, from NVIDIA

3. A Family of ModernBERT-Based Embedding Models for Enterprise Information Retrieval, from IBM

4. Leveraging Uncertainty in Unlabeled Data for Improved Recommendations, from Zhao et al.

5. Multi-Task Learning and Data Synthesis for State-of-the-Art Text Embeddings, from Kingsoft AI

6. Fine-Grained Scoring and Reinforcement Learning for Efficient Text Reranking, from Alibaba

7. Addressing Algorithm Adaptation Bias in Recommender System Evaluation, from Roblox

8. Training LLMs to be Better Text Embedders through Bidirectional Reconstruction, from Su et al.

9. Solving the RAG Inference Bottleneck with Adaptive Chunk Embeddings, from Meta

10. Leveraging Code Generation Models for High-Performance Code Embeddings, from Jina AI