Zhi Hong — accepted AI-conference papers

2026

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks

Zhi Hong, Qian Zhang, Jiahang Sun, Zhiwei Shang, Mingze Kong, Xiangyi Wang +2

ICML 2026spotlight

Large Language Models (LLMs) have achieved significant success across a wide range of tasks, serving as the cognitive backbone for Multi-Agent Systems (MAS) designed to orchestrate complex practical workflows. Given that MAS performance is highly sensitive to input prompts and many deployment scenar…

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2023

The Diminishing Returns of Masked Language Models to Science

Zhi Hong, Aswathy Ajith, James Pauloski, Eamon Duede, Kyle Chard, Ian Foster

ACL 2023findings

Transformer-based masked language models such as BERT, trained on general corpora, have shown impressive performance on downstream tasks. It has also been demonstrated that the downstream task performance of such models can be improved by pretraining larger models for longer on more data. In this wo…

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