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🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11581
Total Papers
9061
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371
Twilight
2149
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18.6%
Survival Rate
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Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA
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Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
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Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
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ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations
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Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support
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WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers
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Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
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NaviX: A Native Vector Index Design for Graph DBMSs With Robust Predicate-Agnostic Search Performance
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Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
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Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis
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An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify
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Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
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eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing
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A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
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Automating Financial Statement Audits with Large Language Models
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Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
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Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information
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TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
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DV365: Extremely Long User History Modeling at Instagram
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FACE: A Fine-grained Reference Free Evaluator for Conversational Recommender Systems
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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
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Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems
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