Showing 101–120 of 216 results
/ Date/ Name
Aug 30, 2023Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate PredictionAug 14, 2023Large Language Models for Information Retrieval: A SurveyJul 29, 2023Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News RecommendationJun 13, 2023Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsJun 8, 2023RETA-LLM: A Retrieval-Augmented Large Language Model ToolkitMay 24, 2023JDsearch: A Personalized Product Search Dataset with Real Queries and Full InteractionsMay 23, 2023Extracting Shopping Interest-Related Product Types from the WebMay 18, 2023BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NERMay 5, 2023Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT modelsApr 6, 2023Simplifying Content-Based Neural News Recommendation: On User Modeling and Training ObjectivesMar 8, 2023NASTyLinker: NIL-Aware Scalable Transformer-based Entity LinkerNov 18, 2022FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question AnsweringOct 27, 2022Multimodal Transformer Distillation for Audio-Visual SynchronizationOct 13, 2022MTEB: Massive Text Embedding BenchmarkOct 4, 2022A Study on the Efficiency and Generalization of Light Hybrid RetrieversSep 25, 2022Efficient Long Sequential User Data Modeling for Click-Through Rate PredictionSep 18, 2022Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of SimulationSep 14, 2022Solutions to preference manipulation in recommender systems require knowledge of meta-preferencesSep 14, 2022Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?Aug 19, 2022SimLDA: A tool for topic model evaluation