The AIAS 2025 Program Committee is pleased to present the papers accepted for inclusion in the conference program. Each submission was subject to a rigorous peer review process conducted by the paper review committee, with careful attention to scholarly quality, originality, and relevance to the conference themes. From more than sixty submissions, the following papers were selected for presentation. These contributions reflect significant advances in the field and exemplify the high standards of research and academic integrity upheld by AIAS 2025.
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Title
Authors
6
Intelligent Coordination Strategies for Multi-Agent\nNavigation in Dynamic Networks
Naga Lalitha Sree Thatavarthi
8
Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks
Mark Neubauer, Ayush Khot, Xiwei Wang, Avik Roy and Volodymyr Kindratenko
12
HiPA: Enabling One-Step Text-to-Image Diffusion via\nHigh-Frequency Promotion
Yifan Zhang, Bryan Hooi and Shuicheng Yan
13
Framework for 10X Acceleration of Open Clinical AI Science
Anjun Chen, Lu Tian and Jorg Rodriguez
16
FREE: The Foundational Semantic Recognition for Modeling\nEnvironmental Ecosystems
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun\nXie, Licheng Liu, Zhenong Jin, Huaxiu Yao and Xiaowei Jia
17
Identifying High-Risk Cancer Patients on Breast Cancer\nPathology Reports with Large Language Models
Raymond Ng, Trevor Kwan and Jaimie Lee
20
OmniScience: A Domain-Specialized LLM for Scientific\nReasoning and Discovery
Kai Liu and Vignesh Prabhakar