Machine-generated text: A comprehensive survey of threat models and detection methods

EN Crothers, N Japkowicz, HL Viktor - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

A survey on integration of large language models with intelligent robots

Y Kim, D Kim, J Choi, J Park, N Oh, D Park - Intelligent Service Robotics, 2024 - Springer
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 …

The Janus effect of generative AI: Charting the path for responsible conduct of scholarly activities in information systems

A Susarla, R Gopal, JB Thatcher… - Information Systems …, 2023 - pubsonline.informs.org
The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly
Activities in Information Systems | Information Systems Research INFORMS.org Certified …

Hallucinations in large multilingual translation models

NM Guerreiro, DM Alves, J Waldendorf… - Transactions of the …, 2023 - direct.mit.edu
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 …

Explaining machine learning models with interactive natural language conversations using TalkToModel

D Slack, S Krishna, H Lakkaraju, S Singh - Nature Machine Intelligence, 2023 - nature.com
Practitioners increasingly use machine learning (ML) models, yet models have become
more complex and harder to understand. To understand complex models, researchers have …

Large legal fictions: Profiling legal hallucinations in large language models

M Dahl, V Magesh, M Suzgun… - Journal of Legal Analysis, 2024 - academic.oup.com
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 …

Visualizing the sustainable development goals and natural resource utilization for green economic recovery after COVID-19 pandemic

S Zhang, MK Anser, MYP Peng, C Chen - Resources Policy, 2023 - Elsevier
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 …

Efficient methods for natural language processing: A survey

M Treviso, JU Lee, T Ji, B Aken, Q Cao… - Transactions of the …, 2023 - direct.mit.edu
Recent work in natural language processing (NLP) has yielded appealing results from
scaling model parameters and training data; however, using only scale to improve …

Ar-diffusion: Auto-regressive diffusion model for text generation

T Wu, Z Fan, X Liu, HT Zheng, Y Gong… - Advances in …, 2023 - proceedings.neurips.cc
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 …

Ml-lmcl: Mutual learning and large-margin contrastive learning for improving asr robustness in spoken language understanding

X Cheng, B Cao, Q Ye, Z Zhu, H Li, Y Zou - arXiv preprint arXiv …, 2023 - arxiv.org
Spoken language understanding (SLU) is a fundamental task in the task-oriented dialogue
systems. However, the inevitable errors from automatic speech recognition (ASR) usually …