5 papers
TwiFF (Think With Future Frames): A Large-Scale Dataset for Dynamic Visual Reasoning
Junhua Liu, Zhangcheng Wang, Zhike Han +3
Visual Chain-of-Thought (VCoT) has emerged as a promising paradigm for enhancing multimodal reasoning by integrating visual perception into intermediate reasoning steps. However, e…
Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim
Fairness in both Machine Learning (ML) predictions and human decision-making is essential, yet both are susceptible to different forms of bias, such as algorithmic and data-driven…
Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks
Junhua Liu, Kwan Hui Lim, Roy Ka-Wei Lee
How objective and unbiased are we while making decisions? This work investigates cognitive bias identification in high-stake decision making process by human experts, questioning i…
A Survey of Financial AI: Architectures, Advances and Open Challenges
Junhua Liu
Financial AI empowers sophisticated approaches to financial market forecasting, portfolio optimization, and automated trading. This survey provides a systematic analysis of these d…
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
Wenhao Shi, Zhiqiang Hu, Yi Bin +5
Large language models (LLMs) have demonstrated impressive reasoning capabilities, particularly in textual mathematical problem-solving. However, existing open-source image instruct…