Understanding Context Sufficiency in RAG Systems, A Systematic Review of Language Model Representations, and More!

Vol.78 for Nov 11 - Nov 17, 2024

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

This week’s newsletter highlights the following research:

1. A Systematic Review of Language Model Representations, from Zhang et al.

2. Adaptive RAG Through Knowledge Boundary Detection, from Alibaba

3. Understanding Context Sufficiency in RAG Systems, from Joren et al.

4. A Cache-Driven Approach to Scaling Recommendation Systems, from Kuaishou

5. A General Framework for Content Annotation and Retrieval, from Clarke et al.

6. A Comprehensive Framework for Multimodal Long Document Understanding, from Alibaba

7. Specialized Text Embeddings for Financial Document Understanding, from Balyasny Asset Management

8. A Theoretical Framework for Comparing Recommendation Loss Functions, from Teodoro et al.

9. Understanding Document Retrieval Trade-offs in RAG Systems, from Intel Labs

10. A Systematic Evaluation of Commercial LLM Fine-tuning Services, from Stanford University