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:
A Systematic Review of Language Model Representations, from Zhang et al.
Adaptive RAG Through Knowledge Boundary Detection, from Alibaba
Understanding Context Sufficiency in RAG Systems, from Joren et al.
A Cache-Driven Approach to Scaling Recommendation Systems, from Kuaishou
A General Framework for Content Annotation and Retrieval, from Clarke et al.
A Comprehensive Framework for Multimodal Long Document Understanding, from Alibaba
Specialized Text Embeddings for Financial Document Understanding, from Balyasny Asset Management
A Theoretical Framework for Comparing Recommendation Loss Functions, from Teodoro et al.
Understanding Document Retrieval Trade-offs in RAG Systems, from Intel Labs
A Systematic Evaluation of Commercial LLM Fine-tuning Services, from Stanford University
