A Comparative Analysis of LLM Ranking Systems, Analyzing the Effectiveness of LLM Embeddings in Regression, and More!

Vol.80 for Nov 25 - Dec 01, 2024

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

This week’s newsletter highlights the following research:

1. Comparing Commercial and Open-Source LLMs for Systematic Review Query Generation, from TU Wien

2. A Systematic Comparison of Ranking Algorithms for LLM Evaluation, from the University of Michigan

3. A Comprehensive Analysis of LLM Representations for Regression Tasks, from Google

4. Benchmarking Multi-modal Retrieval-Augmented Generation for Web Content, from Ma et al.

5. Efficient Large Language Model Scaling for Industrial Dense Retrieval, from Huang et al.

6. A Survey on LLM-as-a-Judge, from Gu et al.

7. Reproducing and Adapting 2D Matryoshka Training for Information Retrieval, from Wang et al.

8. A Fast and Exact Similarity Search Engine for Billion-Scale Data Series, from Schafer et al.

9. A Review of Visual Question Answering in the Era of Large Language Models, from SYSU

10. Integrating ID Embeddings and Language Models for Enhanced Sequential Recommendations, from Huawei