2 papers
cs.CR2025
Private Map-Secure Reduce: Infrastructure for Efficient AI Data Markets
Sameer Wagh, Kenneth Stibler, Shubham Gupta +8
The modern AI data economy centralizes power, limits innovation, and misallocates value by extracting data without control, privacy, or fair compensation. We introduce Private Map-…
cs.CL2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Irina Bejan, Artem Sokolov, Katja Filippova
Increasingly larger datasets have become a standard ingredient to advancing the state-of-the-art in NLP. However, data quality might have already become the bottleneck to unlock fu…