All Stories

  1. Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models
  2. When to Invoke: Refining LLM Fairness with Toxicity Assessment
  3. When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation
  4. FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks
  5. Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
  6. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
  7. Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment
  8. Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
  9. Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
  10. FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
  11. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
  12. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory
  13. Testing fairness measures in machine learning using an approach for designing tests in education.
  14. Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders