3 papers
cs.LG2026
Rethinking Molecular Graph Backdoors under Chemistry-aware Admission
Thinh T. H. Nguyen, Sze Jue Yang, Khoa D. Doan +2
Backdoor attacks on molecular graph neural networks (GNNs) are typically evaluated as abstract graph edits, but real molecular learning pipelines do not train on arbitrary graphs.…
cs.CL2025
Banking Done Right: Redefining Retail Banking with Language-Centric AI
Xin Jie Chua, Jeraelyn Ming Li Tan, Jia Xuan Tan +6
This paper presents Ryt AI, an LLM-native agentic framework that powers Ryt Bank to enable customers to execute core financial transactions through natural language conversation. T…
cs.CL2025
MyCulture: Exploring Malaysia's Diverse Culture under Low-Resource Language Constraints
Zhong Ken Hew, Jia Xin Low, Sze Jue Yang +1
Large Language Models (LLMs) often exhibit cultural biases due to training data dominated by high-resource languages like English and Chinese. This poses challenges for accurately…