HeyJaredTop Information Retrieval Papers of the Week
A weekly curated newsletter about the latest research papers in the Information Retrieval domain, including Recommender Systems, Search, Retrieval, and Ranking.
- Indexed issues, last 90 days
- 11
- Latest publication
- Sep 25, 2026
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- Earliest in this view
- Jul 17, 2026
Latest issues
What Makes a Good Semantic ID for Generative Recommendation?, A Systematic Multi-Domain Evaluation of Document Retrievers, and More! (opens the original)
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Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.This week’s newsletter highlights the following research: What Makes a Good Semantic ID for Generative Recommendation?, from Chen et al.Learned Cross-Task Relationships in Multi-Task Models, from Google<a href="https://recsys.substack.com/
Rethinking Recommender Systems for the Agentic Web, Exact KL Derivations of TF-IDF and BM25, and More! (opens the original)
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Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.This week’s newsletter highlights the following research: Rethinking Recommender Systems for the Agentic Web, from SpotifyMixture-of-Experts LLMs as First-Stage Retrievers, from Shrestha et al.<a href="https://recsys.substack.com/i/21623
Spectral Compression of Late-Interaction Retrieval Models, Surgical Corrections to Dense Retrieval Rankings, and More! (opens the original)
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Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.This week’s newsletter highlights the following research: Spectral Compression of Late-Interaction Retrieval Models, from MicrosoftIn-Place Embedding Corrections for Feedback-Driven Dense Retrieval, from Amendola et al.<a href="https://re
An AI Search Engine for Trillion-Scale Vector Data Management, Decoding LLM Rerankers in a Single Forward Pass, and More! (opens the original)
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Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.This week’s newsletter highlights the following research: An AI Search Engine for Trillion-Scale Vector Data Management, from ByteDanceDecoding LLM Rerankers in a Single Forward Pass, from Meta<a href="https://recsys.substack.com/i/214095786/3-iter-interaction-aware-retrieval-for
Eliminating the CPU–GPU Transfer Bottleneck in Late-Interaction Retrieval, How Better Recommenders Redistribute Consumption, and More! (opens the original)
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Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.This week’s newsletter highlights the following research: Multi-Vector Retrieval Beyond Chamfer Approximation, from Microsoft ResearchHow Better Recommenders Redistribute Consumption, from Netflix<a href="https://recsys.substac
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