Sitemap - 2023 - Top Information Retrieval Papers of the Week

Rethinking Model Scale for Listwise Reranking, Adapting Large Language Models for Effective Dense Text Retrieval, and More!

A Survey of Retrieval-Augmented Generation for LLMs, Improving Sequential Recommendation via Fourier Transform, and More!

Boosting RAG with Context, Improving Click Prediction and Revenue in Native Ads Via Accidental Click Modeling, and More!

An Open-Source Neural Reranker Rivaling Large Proprietary Models, Reducing Real-Time Search Latency, and More!

Towards Universal Multimodal Information Retrieval, A Progressive Training Strategy for Applying LLMs to Text Ranking, and More!

Exploring Scaling Laws in Sequential Recommender Systems, and More!

Noteworthy Information Retrieval Papers from CIKM 2023

Personalizing Language Models for Search, Enhancing Robustness in Retrieval-Augmented Language Models, and More!

LlamaRec Framework for Efficient Ranking using LLMs, Enhancing Long-Tail Query Understanding in E-Commerce Search, and More!

Uncovering Neural Retrievers' Bias Towards LLM-Generated Text, Enhancing LLM-based Recommenders with Collaborative Information, and More!

Large Search Model: Redefining Search Stack in the Era of LLMs, Enhancing Recommenders with LLM-powered Representation Learning, and More!

Effective and Efficient Zero-shot Ranking with LLMs, Robust Adaptation of API-Based LLMs for Information Retrieval, and More!

Fine-Tuning LLaMA for Effective Multi-Stage Text Retrieval, Controlling Evolving Toxicity in Language Models through Retrieval, and More!

Improving Robustness, Inference Speed and Storage for Retrieval-Augmented Language Models, Aligning LLMs to Distinguish Fine-Grained Information for IR Tasks, and More!

Improving Product Retrieval through Query Clustering and Local Language Models, Model-enhanced Vector Index, and More!

🥇 Award Winning Papers from RecSys 2023

Obtaining Scalable and High-Quality Relevance Labels via LLMs, A Comprehensive Analysis of Language Model Expansions in IR, and More!

Probing for Consistent Rankings in Language Models, Generating Attribute Values for E-Commerce Catalog Enrichment, and More!

Pre-Trained Recommender Models via Universal User and Item Representations, Evaluating ChatGPT as a Zero-Shot Recommender System, and More!

An LLM-Powered Autonomous Recommendation Agent, Generating product insights from community Q&A, and More!

Effective Strategies for Incorporating Retrieval in LLM-Based Question Answering, Retrieval-enhanced LLMs for Sequential Recommendations, and More!

🥇 Award Winning Papers from KDD 2023

Rethinking Meta-Learning for Cold-Start Recommendation, Diffusion Models for Reranking, and More!

LLaMA-E for E-Commerce Authoring Tasks, Advancing Transformers for Sequential User Modeling, and More!

Opportunities and Challenges in Adapting Large Language Models for Personalization, User-Controllable Recommendations, and More!

Podcast Segmentation and Summarization, Enhancing Early Stage Ad Ranking, Near Cold-Start Recommendation with LLMs, and More!

🥇 Award Winning Papers from SIGIR 2023

A Strategic Report on LLMs in Information Retrieval, Impact of Retrieval Augmentation on LLM Factual Knowledge Boundaries and More!

Large Language Models for Online Job Recommendations, Generative Contrastive Graph Learning, Alleviating Matthew Effect and More!

Unlearning Recommendations, Large Language Models for Ranking Documents, Mitigating Cold-Start, and More!

A Scalable Neural Contextual Bandit Algorithm, Customer Lifetime Value Prediction, Learning to Rank in Generative Retrieval and More!

Leveraging LLMs, Memory-efficient Embedding, A Survey On Recent Developments in RecSys and More!

Listwide Learning-to-Rank, Font Recommendation, Efficient Ads Targeting and More!

Fresh Content Recommendations, Enhanced Dual Encoders, Bias Mitigation, and More!

Top Information Retrieval Papers of the Week

Top Information Retrieval Papers of the Week

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