Publications

You can also find my papers on Google Scholar.

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads
Wei Jie Yeo, Rui Mao, Moloud Abdar, Ranjan Satapathy, Erik Cambria
ICML, 2026.
[Paper] [Code]

Beyond I’m Sorry, I Can’t: Dissecting Large-Language-Model Refusal
Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
AAAI, Special Track on AI Alignment, 2026.
[Paper]

Understanding Refusal in Language Models with Sparse Autoencoders
Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Ranjan Satapathy, Roy Ka-Wei Lee, Erik Cambria
Findings of EMNLP, 2025.
[Paper] [Code]

Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
EMNLP, 2025.
[Paper]

Mitigating Jailbreaks with Intent-Aware LLMs (Intent-FT)
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
Preprint, 2025.
[Paper] [Code]

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

A comprehensive review on financial explainable AI
Wei Jie Yeo, Wihan Van Der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
Artificial Intelligence Review, 2025.
[Paper]

Self-training Large Language Models through Knowledge Detection
Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria
Findings of EMNLP, 2024.
[Paper] [Code]

Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
Findings of ACL, 2024.
[Paper] [Code]

How Interpretable are Reasoning Explanations from Prompting Large Language Models?
Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria
Findings of NAACL, 2024.
[Paper] [Code]