3 papers
cs.CY2026
When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications
Hongliu Cao, Eoin Thomas, Rodrigo Acuna Agost
Large Language Models (LLMs) used in creative workflows can reinforce stereotypes and perpetuate inequities, making fairness auditing essential. Existing methods rely on constraine…
cs.CL2025
Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework
Ilias Driouich, Hongliu Cao, Eoin Thomas
Retrieval-augmented generation (RAG) systems improve large language model outputs by incorporating external knowledge, enabling more informed and context-aware responses. However,…
cs.CL2025
Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications
Hongliu Cao, Ilias Driouich, Robin Singh +1
Large Language Models (LLMs) have demonstrated impressive performance across diverse domains, yet they still encounter challenges such as insufficient domain-specific knowledge, bi…