🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11526
Total Papers
9061
No Code
371
Twilight
2094
Has Code
18.2%
Survival Rate
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SUGER: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation
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Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
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Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems
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Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision
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AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System
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ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
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SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
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The Cartographer
Overview of the TREC 2024 NeuCLIR Track
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Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
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Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
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ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation
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Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis
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HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights
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OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis
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Knowledge Graph Completion with Relation-Aware Anchor Enhancement
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QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
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Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy
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TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
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A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
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Unified Semantic and ID Representation Learning for Deep Recommenders
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Is Relevance Propagated from Retriever to Generator in RAG?
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Multimodal Quantitative Language for Generative Recommendation
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