When to Choose GraphRAG Over Traditional RAG, The Implicit Semantics Gap in Text Embedding Models, and More!
Vol.108 for Jun 09 - Jun 15, 2025
Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.
This week’s newsletter highlights the following research:
The Case for Implicit Semantics in Text Embedding Research, from Sun et al.
Understanding Contrastive Learning Through Embedding Similarities, from Yonsei University
A Systematic Analysis of GraphRAG vs. Traditional RAG, from Xiang et al.
Improving Visual Question Answering with Reasoning Context Re-ranking, from Yang et al.
Adaptive Context Window Selection for RAG Systems via Similarity Score Distribution Analysis, from Megagon Labs
Joint Optimization of Recall and Semantic Relevance in Large-Scale Item Retrieval, from Meta
Video-ColBERT: Fine-Grained Late Interaction for Text-to-Video Retrieval, from Reddy et al.
A Comprehensive Survey of Reasoning-Enhanced RAG Systems, from Liang et al.
Efficient Long Semantic ID Generation for Large-Scale Recommendation, from Meta
RecGPT: A Text-Driven Foundation Model for Cross-Domain Sequential Recommendation, from Jiang et al.
Keep reading with a 7-day free trial
Subscribe to Top Information Retrieval Papers of the Week to keep reading this post and get 7 days of free access to the full post archives.