Eric Xie — accepted AI-conference papers

2026

SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations

Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang

AAAI 2026technical

Large Language Models (LLMs) have shown immense potential in education, automating tasks like quiz generation and content summarization. However, generating effective presentation slides introduces unique challenges due to the complexity of multimodal content creation and the need for precise, domai

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2025

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

Guangzhi Xiong, Eric Xie, Corey Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo +2

IJCAI 2025

Large language models (LLMs) have shown significant potential in scientific disciplines such as biomedicine, particularly in hypothesis generation, where they can analyze vast literature, identify patterns, and suggest research directions. However, a key challenge lies in evaluating the truthfulness

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