Wei Jie Yeo

17 papers A* 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond I'm Sorry, I Can't: Dissecting Large-Language-Model Refusal.
AAAI
Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
2025 J jnl
A comprehensive review on financial explainable AI.
Artif. Intell. Rev.
Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
2025 J jnl
Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal.
CoRR
Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
2025 J jnl
Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads.
CoRR
Wei Jie Yeo, Rui Mao, Moloud Abdar, Erik Cambria, Ranjan Satapathy
2025 J jnl
Mitigating Jailbreaks with Intent-Aware LLMs.
CoRR
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2025 — conf
SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation.
NAACL (Findings)
Qilong Wu, Xiaoneng Xiang, Hejia Huang, Xuan Wang, Wei Jie Yeo, Ranjan Satapathy, Ricardo Shirota Filho, Bharadwaj Veeravalli
2025 A* conf
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models.
EMNLP
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2025 — conf
Understanding Refusal in Language Models with Sparse Autoencoders.
EMNLP (Findings)
Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Ranjan Satapathy, Roy Ka-Wei Lee, Erik Cambria
2025 J jnl
Understanding Refusal in Language Models with Sparse Autoencoders.
CoRR
Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Roy Ka-Wei Lee, Erik Cambria, Ranjan Satapathy
2024 — conf
How Interpretable are Reasoning Explanations from Prompting Large Language Models?
NAACL-HLT (Findings)
Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria
2024 J jnl
How Interpretable are Reasoning Explanations from Prompting Large Language Models?
CoRR
Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria
2024 — conf
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal.
ACL (Findings)
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2024 J jnl
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal.
CoRR
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2024 — conf
Self-training Large Language Models through Knowledge Detection.
EMNLP (Findings)
Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria
2024 J jnl
Self-training Large Language Models through Knowledge Detection.
CoRR
Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria
2024 J jnl
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models.
CoRR
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2023 J jnl
A Comprehensive Review on Financial Explainable AI.
CoRR
Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo