All Stories

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