Z Li: Researcher — Prolific Citations Library

Explore 2 peer-reviewed studies by Z Li in Human Behavior Modeling and Explainable AI (2024). Discover research powered by Prolific's participant panel.

This page lists 2 peer-reviewed papers authored or co-authored by Z Li in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

Utilizing human behavior modeling to manipulate explanations in AI-assisted decision making: the good, the bad, and the scary

Authors: Z Li, M Yin

Year: 2024

Published in: Advances in Neural Information Processing ..., 2024 - proceedings.neurips.cc

Institution: Purdue University

Research Area: Human Behavior Modeling, Explainable AI, Decision Making in AI systems.

Discipline: Artificial Intelligence, Behavioral Science

DOI: https://doi.org/10.52202/079017-0163

Citations: 7
Can Large Language Models Understand Symbolic Graphics Programs?

Authors: Z Qiu, W Liu, H Feng, Z Liu, T Xiao

Year: 2024

Published in: ArXiv

Institution: Massachusetts Institute of Technology, Max Planck Institute, University of Cambridge

Research Area: Computational cognition, LLM evaluation, Program synthesis, Multimodal reasoning

Discipline: Artificial Intelligence

Introduces SGP-Bench, a benchmark testing whether LLMs can answer semantic and spatial questions about images purely from graphics programs (SVG/CAD), effectively probing “visual imagination without vision.” The authors show current LLMs struggle - sometimes near chance - even when images are trivial for humans, but demonstrate that Symbolic Instruction Tuning (SIT) can meaningfully improve thi...