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🏛️ 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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The Cartographer
Food Data in the Semantic Web: A Review of Nutritional Resources, Knowledge Graphs, and Emerging Applications
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The Cartographer
A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives
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Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model
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Addressing Personalized Bias for Unbiased Learning to Rank
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SemSR: Semantics aware robust Session-based Recommendations
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SUMMA: A Multimodal Large Language Model for Advertisement Summarization
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Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting
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ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations
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A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
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APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection
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Extracting Information from Scientific Literature via Visual Table Question Answering Models
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HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data
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Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method
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Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation
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Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems
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DSRAG: A Domain-Specific Retrieval Framework Based on Document-derived Multimodal Knowledge Graph
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Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering
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LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
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Wave-Based Semantic Memory with Resonance-Based Retrieval: A Phase-Aware Alternative to Vector Embedding Stores
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M-$LLM^3$REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
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Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
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Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
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