All Stories

  1. F air -C ount -M in : Frequency Estimation under Equal Group-wise Approximation Factor
  2. Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks
  3. Fair Set Cover
  4. Finding representative group fairness metrics using correlation estimations
  5. Axolotl: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs
  6. Chameleon: Foundation Models for Fairness-Aware Multi-Modal Data Augmentation to Enhance Coverage of Minorities
  7. First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI)
  8. FairHash: A Fair and Memory/Time-efficient Hashmap
  9. Data distribution tailoring revisited: cost-efficient integration of representative data
  10. REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
  11. Maximizing Neutrality in News Ordering
  12. Representation Bias in Data: A Survey on Identification and Resolution Techniques
  13. Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching
  14. Next-generation Challenges of Responsible Data Integration
  15. Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives
  16. On Finding Rank Regret Representatives
  17. Fair active learning
  18. Maximizing fair content spread via edge suggestion in social networks
  19. Towards distribution-aware query answering in data markets
  20. Responsible Data Integration: Next-generation Challenges
  21. Fairness-Aware Range Queries for Selecting Unbiased Data
  22. Tailoring data source distributions for fairness-aware data integration
  23. FairRover
  24. OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
  25. Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes
  26. Scalable signal reconstruction for a broad range of applications
  27. Identifying insufficient data coverage in databases with multiple relations
  28. Fairly evaluating and scoring items in a data set
  29. MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness
  30. On detecting cherry-picked trendlines
  31. Efficient Signal Reconstruction for a Broad Range of Applications
  32. MithraLabel
  33. A unified optimization algorithm for solving "regret-minimizing representative" problems
  34. Scalable algorithms for signal reconstruction by leveraging similarity joins
  35. Designing Fair Ranking Schemes
  36. RRR
  37. Assessing and Remedying Coverage for a Given Dataset
  38. Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces
  39. On obtaining stable rankings
  40. Efficient construction of approximate ad-hoc ML models through materialization and reuse
  41. Efficient construction of approximate ad-hoc ML models through materialization and reuse
  42. Leveraging similarity joins for signal reconstruction
  43. QR2: A Third-Party Query Reranking Service over Web Databases
  44. MobiFace: A Mobile Application for Faceted Search over Hidden Web Databases
  45. Efficient Computation of Regret-ratio Minimizing Set
  46. Query reranking as a service
  47. Generating Preview Tables for Entity Graphs
  48. Discovering the skyline of web databases
  49. A general model for MAC protocol selection in wireless sensor networks
  50. Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons