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Applications

3,265 papers (28 classified directly here)

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Papers (including subtopics)

Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation EMNLP 2025 Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case AAAI 2025 Deviation-based multiple coefficient item mixer for heterogeneous set-to-set matching ACML 2025 DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction AAAI 2025 Dialect2SQL: A Novel Text-to-SQL Dataset for Arabic Dialects with a Focus on Moroccan Darija COLING 2025 Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum NAACL 2025 Differentially Private Federated k-Means Clustering with Server-Side Data ICML 2025 Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025 Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations AAAI 2025 DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management EMNLP 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation IJCAI 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025 Distribution-Consistency-Guided Multi-modal Hashing AAAI 2025 Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts ACL 2025 Double Machine Learning for Causal Inference under Shared-State Interference ICML 2025 Do We Really Need Message Passing in Brain Network Modeling? ICML 2025 DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers ACL 2025 DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval AAAI 2025 Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases EMNLP 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 DSBC : Data Science task Benchmarking with Context engineering IJCNLP 2025