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ORCID38th Australasian Joint Conference on Artificial Intelligence 2025: Canberra, ACT, Australia - Part I
- Miaomiao Liu
, Xin Yu, Chang Xu, Yiliao Song:
AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1-5, 2025, Proceedings, Part I. Lecture Notes in Computer Science 16370, Springer 2026, ISBN 978-981-95-4968-9
Language and Foundation Models
- Geordie Dalzell, Chen Liu, Wei Peng, Xinghuo Yu:
Analysis of Large Language Model Prompting and Generation Using Toulmin's Model. 3-14 - Ziqiu Huang, Xiang Li, Wenli Yang, Quan Bai, David Green, Clive McMahon:
MultiRAG: An Agentic Multi-Modal and Multi-Source Retrieval-Augmented Generation Framework for Scientific Research. 15-27 - Man Qin, Qiang Sun, Tim French, Wei Liu:
Enhancing RAG System Performance Through Semantic Layout Chunking. 28-39 - Shathika Kularatne, Matt Selway, Wolfgang Mayer, Markus Stumptner:
Automating Perdurant Meta-Property Assignment Using GPT-4. 40-53 - René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Oliver Niggemann:
Evaluating Large Language Models for Real-World Engineering Tasks. 54-66 - Tammy Zhong, Yang Song, Maurice Pagnucco:
Generation of Ethical Rules Using Large Language Models. 67-79 - Lachlan McGinness, Peter Baumgartner:
Large Language Models Imitate Logical Reasoning, but at What Cost? 80-96 - Hang Nguyen, John Le, Chau Nguyen, Thanh Le, Thai T. Vu:
LAPEFT: A Lexicon-Enhanced Approach to Parameter-Efficient Fine-Tuning for Financial News Sentiment Classification. 97-109 - Shu Zou, Xinyu Tian, Qinyu Zhao, Zhaoyuan Yang, Jing Zhang:
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models. 110-121 - Ran Wang, Hua Zuo, Ling Chen, Huan Huo, Jie Lu:
RePrompt: Towards Robust Continual Test-Time Adaptation via Replay Prompt for CLIP. 122-133
Trustworthy and Explainable AI
- Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew:
Probabilistic Lipschitzness and the Stable Rank for Measuring XAI Model Robustness. 137-149 - Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew:
Graph-Based Integrated Gradients for Explaining Graph Neural Networks. 150-162 - Shahadat Uddin, Yajie Huang, Shanshan Fang, Haohui Lu:
Assessing Algorithmic Fairness in Socioeconomic Predictions Using Australian Census Data. 163-176 - Nimesha Dilini, Nan Sun, Sky Miao, Nour Moustafa:
TrustGuard: IoT Intrusion Detection with XAI-Driven Feature Refinement for Enhanced Multi-class Edge Classification. 177-190 - Houke Zhao, Huaxi Huang, Xun Li:
PP-Pose: Privacy-Preserving Human Pose Estimation Using Random High-Frequency Channel Combinations. 191-203 - Xushuo Tang, Yi Ding, Zhengyi Yang, Yin Chen, Yongrui Gu, Wenke Yang, Mingchen Ju, Xin Cao, Yongfei Liu, Wenjie Zhang:
Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models. 204-219 - Mark Amos, Yang Song, Maurice Pagnucco:
Concept Control for LLM Safety Using Radial Basis Function Representations. 220-232 - Shuo Han, Tao Tan, Yuantian Miao, Xiao Chen, Nan Sun:
Prompting Instability: An Empirical Study of LLM Robustness in Code Vulnerability Detection. 233-245 - Sebastian Rodriguez, John Thangarajah, Michael Winikoff:
Requirements-Based Explainability for Multi-agent Systems. 246-259 - Belona Sonna, Alban Grastien:
On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI Systems. 260-273 - Peter Moskvichev, Dino Sejdinovic:
All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators. 274-287 - Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Pagnarith Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang:
Whose Side are You on: Investigating Political Bias of Large Language Models. 288-300 - Sahaj Vaidya:
Guardrails, Not Guesswork: A Framework for Trustworthy AI Adoption. 301-307
Knowledge Representation and Data Mining
- Erli Wang, Dakshi Kapugama Geeganage, Opec Kemp:
Categorization Architecture with Predictive Reasoning and Alignment for UNSPSC. 311-323 - Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao:
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer. 324-335 - Jianbin Li, Yiliao Song, Lingqiao Liu:
Predicting Generalization Error Under Graph Distribution Shifts via Parameter Discrepancy with Accumulated Gradient. 336-350 - Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund, Conrad Sanderson:
Predicting Graph Structure via Adapted Flux Balance Analysis. 351-363 - Qi Cheng, Peng Yan, Guodong Long:
cFedLAD: A Clustered Additive LoRA Framework for Robust and Personalized Federated Learning. 364-377 - Erencem Ozbey, Dimitrios I. Diochnos:
Dimensionally Reduced Open-World Clustering: DROWCULA. 378-391 - Dylan Peek, Matthew P. Skerritt, Stephan K. Chalup:
Noise-Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology. 392-404 - Alec Sathiyamoorthy, Wenhao Zhou, Xiangmin Zhou, Xiaodong Li, Iqbal Gondal:
MFiSP: A Multimodal Fire Spread Prediction Framework. 405-416 - Eirini Panteli, Paulo E. Santos, Nabil Humphrey:
Signal Beneath the Surface: A Deep Learning Pipeline for Marine Acoustic Intelligence. 417-431 - Nguyen Hoai My, Nguyen Xuan Trung, Pham Nguyen Minh Phong, Le Vo Minh Thu:
Weather Forecasting System "Four Seasons in One Day" and Shelter Suggestion for Sydney and Melbourne and Canberra. 432-443 - Gia-Hung Nguyen Le, Gia-Bao Pham Hoang, Tan-Phat Vo, Thu Le, Nhu Nguyen:
Proactive Air Quality Forecasting and Health Alert System for Melbourne. 444-457 - Gathika Ratnayaka, Yang Li, James A. Nichols, Qing Wang:
Solving Partial Graph Matching as a Stable Matching Problem. 458-470
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