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2020 – today
- 2026
[c7]Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee:
Beyond I'm Sorry, I Can't: Dissecting Large-Language-Model Refusal. AAAI 2026: 37830-37838- 2025
- [j1]Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria
, Ranjan Satapathy, Gianmarco Mengaldo:
A comprehensive review on financial explainable AI. Artif. Intell. Rev. 58(6): 189 (2025) - [c6]Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Ranjan Satapathy, Roy Ka-Wei Lee, Erik Cambria:
Understanding Refusal in Language Models with Sparse Autoencoders. EMNLP (Findings) 2025: 6377-6399 - [c5]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models. EMNLP 2025: 10425-10447 - [c4]Qilong Wu, Xiaoneng Xiang, Hejia Huang, Xuan Wang, Wei Jie Yeo, Ranjan Satapathy, Ricardo Shirota Filho, Bharadwaj Veeravalli:
SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation. NAACL (Findings) 2025: 1184-1203 - [i9]Wei Jie Yeo, Rui Mao, Moloud Abdar, Erik Cambria, Ranjan Satapathy:
Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. CoRR abs/2505.17425 (2025) - [i8]Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Roy Ka-Wei Lee, Erik Cambria, Ranjan Satapathy:
Understanding Refusal in Language Models with Sparse Autoencoders. CoRR abs/2505.23556 (2025) - [i7]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Mitigating Jailbreaks with Intent-Aware LLMs. CoRR abs/2508.12072 (2025) - [i6]Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee:
Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal. CoRR abs/2509.09708 (2025) - 2024
- [c3]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. ACL (Findings) 2024: 5182-5192 - [c2]Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria:
Self-training Large Language Models through Knowledge Detection. EMNLP (Findings) 2024: 15033-15045 - [c1]Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria:
How Interpretable are Reasoning Explanations from Prompting Large Language Models? NAACL-HLT (Findings) 2024: 2148-2164 - [i5]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. CoRR abs/2402.08479 (2024) - [i4]Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria:
How Interpretable are Reasoning Explanations from Prompting Large Language Models? CoRR abs/2402.11863 (2024) - [i3]Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria:
Self-training Large Language Models through Knowledge Detection. CoRR abs/2406.11275 (2024) - [i2]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models. CoRR abs/2410.14155 (2024) - 2023
- [i1]Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo:
A Comprehensive Review on Financial Explainable AI. CoRR abs/2309.11960 (2023)
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