A Vision for Information Retrieval Systems in the GenAI Era, Investigating Large-Scale Recommendation Models, and More!
Vol.81 for Dec 02 - Dec 08, 2024
Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.
This week’s newsletter highlights the following research:
A Vision for Information Retrieval Systems in the GenAI Era, from CCC Workshop
A Hybrid Framework for Unifying Dense and Generative Retrieval in Sequential Recommendation, from Meta AI
A Framework for Retrieval-Enhanced Medical and Commonsense Reasoning in Language Models, from UMass
An Investigation into Large-Scale Recommendation Models and Their Scaling Behavior, from Guo et al.
A Taxonomy and Generation Framework for Evaluating Retrieval Augmented Generation Systems, from IBM
Practical Constraints in Implementing Feature Interactions for Large-Scale Recommender Systems, from Pinterest
A Self-Optimizing Iterative Approach for Retrieval-Augmented Generation, from UCAS
A Memory-Efficient Alternative to Hierarchical HNSW in High Dimensions, from Munyampirwa et al.
A Study on Retrieval Recall, Document Types, and Prompt Engineering in RAG Systems, from Zhao et al.
Building a Product Knowledge Graph with LLMs for Explainable E-Commerce Recommendations, from eBay
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