PyData Global 2024

Son The Nguyen

Son The Nguyen is a Ph.D. student in Management Information Systems (MIS) at the University of Illinois Chicago, where he is guided by Professor Theja Tulabandhula. Son specializes in human-AI collaboration, with a focus on enhancing both human and model performance. His research bridges AI theory and practical applications, emphasizing AI safety, alignment, and optimizing interactions between humans and AI to harmonize their collaboration.

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Sessions

12-04
11:30
30min
Improve LLMs Alignment with Complete and Robust Preference Data
Son The Nguyen

This talk explores how to align large language models (LLMs) with human values via preference learning (PL) in the presence of challenges such as incomplete and corrupted data in preference datasets. We propose a novel method for recalibrating values to tackle these issues, enhancing LLM resilience by improving the robustness of existing models. The session highlights real-world experiments that show how the method addresses adversarial noise and unobserved comparisons, making it essential for building more reliable, ethically aligned AI systems.

LLM Track
LLM Track