Abstract
Proposed herein is a novel bias-corrected multi-agent user feedback analysis system that automatically corrects for selection bias in sparse user feedback to provide accurate, unbiased quality assessments of Large Language Model (LLM) systems.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gupta, Saurabh and Morandi, Andrea, "BIAS-CORRECTED MULTI-AGENT USER FEEDBACK ANALYSIS SYSTEM FOR LLM PERFORMANCE OPTIMIZATION", Technical Disclosure Commons, (October 28, 2025)
https://www.tdcommons.org/dpubs_series/8803
COinS