Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. - Wei Jie Yeo; Ranjan Satapathy; Erik Cambria (ACL (Findings), 2024)

Self-training Large Language Models through Knowledge Detection. - Wei Jie Yeo; Teddy Ferdinan; Przemyslaw Kazienko; Ranjan Satapathy; Erik Cambria (EMNLP (Findings), 2024)

How Interpretable are Reasoning Explanations from Prompting Large Language Models? - Wei Jie Yeo; Ranjan Satapathy; Rich Siow Mong Goh; Erik Cambria (NAACL-HLT (Findings), 2024)

Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models. - Wei Jie Yeo; Ranjan Satapathy; Erik Cambria (CoRR, 2024)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation. - Qilong Wu; Xiaoneng Xiang; Hejia Huang; Xuan Wang; Wei Jie Yeo; Ranjan Satapathy; Ricardo Shirota Filho; Bharadwaj Veeravalli (NAACL (Findings), 2025)

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. - Wei Jie Yeo; Rui Mao 010; Moloud Abdar; Erik Cambria; Ranjan Satapathy (CoRR, 2025)

Understanding Refusal in Language Models with Sparse Autoencoders. - Wei Jie Yeo; Nirmalendu Prakash; Clement Neo; Roy Ka-Wei Lee; Erik Cambria; Ranjan Satapathy (CoRR, 2025)

A comprehensive review on financial explainable AI. - Wei Jie Yeo; Wihan van der Heever; Rui Mao 010; Erik Cambria; Ranjan Satapathy; Gianmarco Mengaldo (Artif. Intell. Rev., 2025)

Mitigating Jailbreaks with Intent-Aware LLMs. - Wei Jie Yeo; Ranjan Satapathy; Erik Cambria (CoRR, 2025)