Machine-generated text: A comprehensive survey of threat models and detection methods
Machine-generated text is increasingly difficult to distinguish from text authored by humans.
Powerful open-source models are freely available, and user-friendly tools that democratize …
Powerful open-source models are freely available, and user-friendly tools that democratize …
A survey on integration of large language models with intelligent robots
In recent years, the integration of large language models (LLMs) has revolutionized the field
of robotics, enabling robots to communicate, understand, and reason with human-like …
of robotics, enabling robots to communicate, understand, and reason with human-like …
The Janus effect of generative AI: Charting the path for responsible conduct of scholarly activities in information systems
The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly
Activities in Information Systems | Information Systems Research INFORMS.org Certified …
Activities in Information Systems | Information Systems Research INFORMS.org Certified …
Hallucinations in large multilingual translation models
Hallucinated translations can severely undermine and raise safety issues when machine
translation systems are deployed in the wild. Previous research on the topic focused on …
translation systems are deployed in the wild. Previous research on the topic focused on …
Explaining machine learning models with interactive natural language conversations using TalkToModel
Practitioners increasingly use machine learning (ML) models, yet models have become
more complex and harder to understand. To understand complex models, researchers have …
more complex and harder to understand. To understand complex models, researchers have …
Large legal fictions: Profiling legal hallucinations in large language models
Do large language models (LLMs) know the law? LLMs are increasingly being used to
augment legal practice, education, and research, yet their revolutionary potential is …
augment legal practice, education, and research, yet their revolutionary potential is …
Visualizing the sustainable development goals and natural resource utilization for green economic recovery after COVID-19 pandemic
After the COVID-19 outbreak, this study examines the influence of modifications in China's
Sustainable Growth Goals (SDGs) and economic development goals on Chinese …
Sustainable Growth Goals (SDGs) and economic development goals on Chinese …
Efficient methods for natural language processing: A survey
Recent work in natural language processing (NLP) has yielded appealing results from
scaling model parameters and training data; however, using only scale to improve …
scaling model parameters and training data; however, using only scale to improve …
Ar-diffusion: Auto-regressive diffusion model for text generation
Diffusion models have gained significant attention in the realm of image generation due to
their exceptional performance. Their success has been recently expanded to text generation …
their exceptional performance. Their success has been recently expanded to text generation …
Ml-lmcl: Mutual learning and large-margin contrastive learning for improving asr robustness in spoken language understanding
Spoken language understanding (SLU) is a fundamental task in the task-oriented dialogue
systems. However, the inevitable errors from automatic speech recognition (ASR) usually …
systems. However, the inevitable errors from automatic speech recognition (ASR) usually …