🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11622
Total Papers
9061
No Code
371
Twilight
2190
Has Code
18.8%
Survival Rate
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Leveraging Reference Documents for Zero-Shot Ranking via Large Language Models
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Context-Adaptive Graph Neural Networks for Next POI Recommendation
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Death by README
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
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Capturing User Interests from Data Streams for Continual Sequential Recommendation
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HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval
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Correcting for Position Bias in Learning to Rank: A Control Function Approach
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Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
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On YouTube Search API Use in Research
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Quantifying Query Fairness Under Unawareness
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Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System
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Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components
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Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models
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Domain specific ontologies from Linked Open Data (LOD)
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Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
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Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
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Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering
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UQLegalAI@COLIEE2025: Advancing Legal Case Retrieval with Large Language Models and Graph Neural Networks
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Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
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Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
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Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning
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The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
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AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
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