Data Science & Analytics

Investment-Driven Social Influence: A Statistical Physics Approach to Advertising Response ACL 2025 INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent ACL 2025 I Spy with My Little Eye A Minimum Cost Multicut Investigation of Dataset Frames WACV 2025 IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations AAAI 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning IJCNLP 2025 I want a horror – comedy – movie: Slips-of-the-Tongue Impact Conversational Recommender System Performance Interspeech 2025 KAHAN: Knowledge-Augmented Hierarchical Analysis and Narration for Financial Data Narration EMNLP 2025 KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks ICML 2025 KARRIEREWEGE: A large scale Career Path Prediction Dataset COLING 2025 KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models ACL 2025 KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025 kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment IJCAI 2025 k-HyperEdge Medoids for Clustering Ensemble AAAI 2025 KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy AAAI 2025 Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation ACL 2025 KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering AAAI 2025 KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis ICML 2025 L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression AAAI 2025 Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction AAAI 2025 Label Distribution Propagation-based Label Completion for Crowdsourcing ICML 2025 LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation EMNLP 2025 Large Language Models for Predictive Analysis: How Far Are They? ACL 2025 Latent Process Models for Functional Network Data JMLR 2025 Latent Variable Estimation in Bayesian Black-Litterman Models ICML 2025 Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization ICML 2025