2.9k citations · 6.8k across the 82 of their papers we have counts for
89 papers
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation
Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria +2
Foundational Large Language Models (LLMs) have changed the way we perceive technology. They have been shown to excel in tasks ranging from poem writing and coding to essay generati…
A Survey on Semantic Processing Techniques
Rui Mao, Kai He, Xulang Zhang +4
Semantic processing is a fundamental research domain in computational linguistics. In the era of powerful pre-trained language models and large language models, the advancement of…
A Comprehensive Review on Financial Explainable AI
Wei Jie Yeo, Wihan van der Heever, Rui Mao +3
The success of artificial intelligence (AI), and deep learning models in particular, has led to their widespread adoption across various industries due to their ability to process…
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
Zonglin Yang, Xinya Du, Junxian Li +3
Hypothetical induction is recognized as the main reasoning type when scientists make observations about the world and try to propose hypotheses to explain those observations. Past…
A Wide Evaluation of ChatGPT on Affective Computing Tasks
Mostafa M. Amin, Rui Mao, Erik Cambria +1
With the rise of foundation models, a new artificial intelligence paradigm has emerged, by simply using general purpose foundation models with prompting to solve problems instead o…
GPTEval: A Survey on Assessments of ChatGPT and GPT-4
Rui Mao, Guanyi Chen, Xulang Zhang +2
The emergence of ChatGPT has generated much speculation in the press about its potential to disrupt social and economic systems. Its astonishing language ability has aroused strong…