7 papers
Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs
Yan Sun, Stanley Kok
This paper investigates the influence of cognitive biases on Large Language Models (LLMs) outputs. Cognitive biases, such as confirmation and availability biases, can distort user…
Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks
Junyi Liu, Stanley Kok
Agencies such as Standard & Poor's and Moody's provide bank credit ratings that influence economic stability and decision-making by stakeholders. Accurate and timely predictions su…
ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams
Xue Wen Tan, Kenneth See, Stanley Kok
The increase in global cellphone usage has led to a spike in instant messaging scams, causing extensive socio-economic damage with yearly losses exceeding half a trillion US dollar…
SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages
Jia Guo, Longxu Dou, Guangtao Zeng +3
In this paper, we introduce SailCompass, a reproducible and robust evaluation benchmark for assessing Large Language Models (LLMs) on Southeast Asian Languages (SEA). SailCompass e…
Interpretable Predictive Models for Healthcare via Rational Logistic Regression
Thiti Suttaket, L Vivek Harsha Vardhan, Stanley Kok
The healthcare sector has experienced a rapid accumulation of digital data recently, especially in the form of electronic health records (EHRs). EHRs constitute a precious resource…
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
Jia Guo, Liying Cheng, Wenxuan Zhang +3
Argument mining involves multiple sub-tasks that automatically identify argumentative elements, such as claim detection, evidence extraction, stance classification, etc. However, e…