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. Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment
  5. Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
  6. Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
  7. FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
  8. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
  9. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory
  10. Testing fairness measures in machine learning using an approach for designing tests in education.
  11. Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders