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🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11581
Total Papers
9061
No Code
371
Twilight
2149
Has Code
18.6%
Survival Rate
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The Cartographer
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
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TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
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REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
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MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
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An automatic patent literature retrieval system based on LLM-RAG
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FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
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EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
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Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
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Constructing and Evaluating Declarative RAG Pipelines in PyTerrier
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Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
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Quake: Adaptive Indexing for Vector Search
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Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering
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NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
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FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
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Shapley Value-driven Data Pruning for Recommender Systems
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Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
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Addressing Missing Data Issue for Diffusion-based Recommendation
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A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
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A Survey on Large Language Models in Multimodal Recommender Systems
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GlobalMood: A cross-cultural benchmark for music emotion recognition
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Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
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NetSight: Graph Attention Based Traffic Forecasting in Computer Networks
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