🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11622
Total Papers
9061
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371
Twilight
2190
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18.8%
Survival Rate
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Multi-Stage Field Extraction of Financial Documents with OCR and Compact Vision-Language Models
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PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
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Temporal Graph Theoretic Analysis of Geopolitical Dynamics in the U.S. Entity List
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SciNUP: Natural Language User Interest Profiles for Scientific Literature Recommendation
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The Cartographer
Multimedia-Aware Question Answering: A Review of Retrieval and Cross-Modal Reasoning Architectures
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Automating Iconclass: LLMs and RAG for Large-Scale Classification of Religious Woodcuts
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C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search
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How role-play shapes relevance judgment in zero-shot LLM rankers
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The Layout Is the Model: On Action-Item Coupling in Generative Recommendation
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Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization
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SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation
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MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation
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Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
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Large Scale Retrieval for the LinkedIn Feed using Causal Language Models
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Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models
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On Inherited Popularity Bias in Cold-Start Item Recommendation
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HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
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MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
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VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents
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Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
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Visual Lifelog Retrieval through Captioning-Enhanced Interpretation
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Beyond Static Evaluation: Rethinking the Assessment of Personalized Agent Adaptability in Information Retrieval
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