Top Information Retrieval Papers of the Week

Top Information Retrieval Papers of the Week

A Foundation Model for Generative Recommendation, A Unified Definition of Hallucination, and More!

Vol.137 for Dec 29, 2025 - Jan 04, 2026

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Sumit
Jan 02, 2026
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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:

  1. A Foundation Model for Generative Recommendation, from Kuaishou

  2. A Unified Definition of Hallucination, from Liu et al.

  3. Fine-Tuning Small Language Models for E-Commerce Agent Optimization: A PayPal-NVIDIA Collaboration, from Sahami et al.

  4. Evaluating the Factuality Gap in Text-Based Explainable Recommender Systems, from Kabongo et al.

  5. Enhancing Item-to-Item Recommendations with LLM-Based Data Generation and Filtering, from Alibaba

  6. A Selective Regularization Framework for Context-Aware LLM Knowledge Integration in Recommendation Systems, from Yang et al.

  7. Overcoming Inference Bottlenecks in Generative Slate Recommendation via Hierarchical Planning, from Tencent

  8. Efficient Billion-Scale ANNS via Hierarchical I/O Governance Under Semantic Skewness, from Huan et al.

  9. Instruction-Following Generative Recommendation with Fast-Slow Thinking, from JD[.com]

  10. The Challenge of Teaching LLMs to Admit Ignorance, from Google Research

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