Guixu: A Valuation-Driven Data Discovery System for Autonomous AI Agents
A recent study presents Guixu, a data discovery system focused on valuation, tailored for autonomous AI agents. This innovative system overcomes the shortcomings of current data discovery tools, which mainly concentrate on retrieval and fail to estimate task-specific utility, choose cost-effective datasets within budget limits, and incorporate reliable feedback from previous usage. Guixu features a three-phase valuation pipeline that utilizes proxy-label propagation and multi-round knapsack optimization for data valuation aligned with tasks. It also includes an agentic payment protocol to facilitate budget-restricted data procurement processes and uses an on-chain data market along with attestation signals for trustworthy data discovery. The demonstration illustrates Guixu's capability to enhance selection beyond mere keyword searches. The paper can be found on arXiv with the identifier 2608.07949.
Key facts
- Guixu is a valuation-driven data discovery system for autonomous AI agents.
- Existing data discovery systems are retrieval-oriented and lack utility estimation, cost-effective selection, and feedback incorporation.
- Guixu uses a three-phase valuation pipeline with proxy-label propagation and multi-round knapsack optimization.
- Guixu integrates an agentic payment protocol for budget-constrained data procurement.
- Guixu leverages an on-chain data market and attestation signals for verifiable data discovery.
- The demonstration shows an agent moving beyond keyword-based search to value-driven selection.
- The paper is published on arXiv with identifier 2608.07949.
- The system is designed for tasks such as model training and decision support.
Entities
Institutions
- arXiv