All Stories

  1. EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling
  2. Genesis: A Large-Scale Benchmark for Multimodal Large Language Model in Emotional Causality Analysis
  3. Addressing the Challenges of Mental Health Conversations with Large Language Models
  4. Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection
  5. Brick-by-Brick: Cyber-Physical Building Data Classification Challenge
  6. CBRCL: A CLIP-BERT with Retrieval-Guided Contrastive Learning Multimodal Approach for Crisis-Driven Hate Speech Detection
  7. Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding
  8. PoliMeme: Exploring Offensive Meme Propagation in the Israel-Palestine Conflict
  9. KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models
  10. BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection
  11. TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation
  12. Effectiveness of Privacy-preserving Algorithms in LLMs: A Benchmark and Empirical Analysis
  13. GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection
  14. BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling
  15. MCHM '24: The 1st International Workshop on Multimedia Computing for Health and Medicine
  16. Contrastive Learning with Self-reconstruction for 3D Intracranial Aneurysm Detection
  17. Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification
  18. IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification
  19. A Mask-based Output Layer for Multi-level Hierarchical Classification
  20. Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification
  21. Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks
  22. Spontaneous Facial Behavior Analysis using Deep Transformer Based Framework for Child–Computer Interaction