Instruction-Tuned Retrieval for Flexible Information Search, Large Multimodal Models as AI Search Engines, and More!

Vol.70 for Sep 16 - Sep 22, 2024

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

This week’s newsletter highlights the following research:

1. Instruction-Tuned Retrieval for Flexible Information Search, from Weller et al.

2. Hierarchical Large Language Models for Enhanced Sequential Recommendations, from ByteDance

3. Accelerating Long-Context LLMs via Dynamic Sparse Attention, from Liu et al.

4. jina-embeddings-v3: A Multilingual, Long-Context Text Embedding Model, from Jina AI

5. Personalizing Short-Video Search for Enhanced User Engagement, from Kuaishou

6. Evaluating Multimodal Search Capabilities of Large Language Models, from Jiang et al.

7. Evaluating Trustworthiness in RAG-Enhanced Large Language Models, from Zhou et al.

8. Enhancing Recommender Systems with Interaction-Driven Sentence Transformers, from Vančura et al.

9. An Adaptive Retrieval-Augmented System for Accurate AI Legal and Policy Interpretations, from Kalra et al.

10. A Framework for Large-Scale Product Retrieval Assessment, from Zalando