All Stories

  1. Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
  2. XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction
  3. Adaptive In-Context Learning with Large Language Models for Bundle Generation
  4. A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
  5. Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning
  6. ``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine
  7. Editorial: Special Issue on Human in the Loop Data Curation
  8. Revisiting Bundle Recommendation for Intent-aware Product Bundling
  9. The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models
  10. How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection
  11. “☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms
  12. HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale
  13. Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality
  14. Revisiting Bundle Recommendation
  15. Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game
  16. What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition
  17. Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning
  18. Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations
  19. What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis
  20. Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process
  21. Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
  22. Leveraging Crowdsourcing Data for Deep Active Learning An Application
  23. Interacting Attention-gated Recurrent Networks for Recommendation
  24. Using social media to reveal social and collective perspectives on music