All Stories

  1. A Survey on Table Mining with Large Language Models: Challenges, Advancements and Prospects
  2. InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement
  3. A Survey on Knowledge-Oriented Retrieval-Augmented Generation
  4. Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables
  5. FedKDD/FedMAS 2026: The 2026 International Joint Workshop on Federated Learning for Multi-agent Systems and Data Mining
  6. MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation
  7. STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models
  8. Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
  9. Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?
  10. TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
  11. Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
  12. TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
  13. Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
  14. Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs
  15. TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
  16. Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
  17. ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
  18. Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
  19. InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling
  20. Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information
  21. Generative Pretrained Hierarchical Transformer for Time Series Forecasting
  22. Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
  23. Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
  24. FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
  25. Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
  26. Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation
  27. LawyerPAN
  28. Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement
  29. NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction