Search Engines in an AI Era, Adapting In-Context Learning for Information Retrieval, and More!
Vol.76 for Oct 28 - Nov 03, 2024
Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.
This week’s newsletter highlights the following research:
A Framework for Evaluating LLM-Based Answer Engines, from Salesforce AI Research
A Comprehensive Survey of LLM-Based Recommender Systems Through an Industrial Lens, from Wang et al.
A Novel Metric for Evaluating Search Result Relevance, from LinkedIn
Enhancing Retrieval Models with In-Context Examples, from Tejaswi et al.
Structured Decomposition for Better Retrieval Augmented Generation, from Verma et al.
Enhancing Retrieval-Augmented Generation Through Contrastive Explanations, from Ranaldi et al.
A Reinforcement Learning Framework for Improving LLM Retrieval, from Hsu et al.
Rule-Guided Retrieval-Augmented Generation for Knowledge-Intensive QA, from Chen et al.
Efficient Collaborative Filtering via Embedding Table Analysis, from Loveland et al.
A Probabilistic Framework for Embedding-Based Retrieval, from Zhang et al.
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