3 papers
cs.LG2026
SHALA-LLM: Smartly Handling Ambiguous Labels in Aligning LLMs
Jingyao Wu, Ashley Wang, Keane Ong +2
Many human-centered tasks, including natural language inference (NLI) and emotion recognition (ER), have multiple plausible interpretations, leading to label ambiguity and challeng…
cs.SI2025
Ricci Matrix Comparison for Graph Alignment: A DMC Variation
Ashley Wang, Peter Chin
The graph alignment problem explores the concept of node correspondence and its optimality. In this paper, we focus on purely geometric graph alignment methods, namely our newly pr…
cs.SI2025
Degree Matrix Comparison for Graph Alignment
Ashley Wang, Peter Chin
The graph alignment problem, which considers the optimal node correspondence across networks, has recently gained significant attention due to its wide applications. There are grap…