Data Science & Analytics

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs ACL 2024 LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data COLING 2024 Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia EMNLP 2024 Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference ICML 2024 Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer ICML 2024 Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data ICLR 2024 Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering AAAI 2024 Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024 LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering ICML 2024 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 Making Old Things New: A Unified Algorithm for Differentially Private Clustering ICML 2024 Making Parliamentary Debates More Accessible: Aligning Video Recordings with Text Proceedings in Open Parliament TV COLING 2024 Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context AAAI 2024 MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation CVPR 2024 MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective ICML 2024 Mathematical Framework for Online Social Media Auditing JMLR 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations ICML 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 MEANT: Multimodal Encoder for Antecedent Information EMNLP 2024 Membership Inference Attacks Against Time-Series Models ACML 2024 Memory-Efficient Sequential Pattern Mining with Hybrid Tries JMLR 2024 MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series ICML 2024 Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation EMNLP 2024 Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024