All Stories

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