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[HTML][HTML] ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
PP Ray - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
In recent years, artificial intelligence (AI) and machine learning have been transforming the
landscape of scientific research. Out of which, the chatbot technology has experienced …
landscape of scientific research. Out of which, the chatbot technology has experienced …
ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps
PHM technology is vital in industrial production and maintenance, identifying and predicting
potential equipment failures and damages. This enables proactive maintenance measures …
potential equipment failures and damages. This enables proactive maintenance measures …
Merlot: Multimodal neural script knowledge models
As humans, we understand events in the visual world contextually, performing multimodal
reasoning across time to make inferences about the past, present, and future. We introduce …
reasoning across time to make inferences about the past, present, and future. We introduce …
Perturbed masking: Parameter-free probing for analyzing and interpreting BERT
By introducing a small set of additional parameters, a probe learns to solve specific linguistic
tasks (eg, dependency parsing) in a supervised manner using feature representations (eg …
tasks (eg, dependency parsing) in a supervised manner using feature representations (eg …
Predicting the next sentence (not word) in large language models: What model-brain alignment tells us about discourse comprehension
Current large language models (LLMs) rely on word prediction as their backbone pretraining
task. Although word prediction is an important mechanism underlying language processing …
task. Although word prediction is an important mechanism underlying language processing …
A survey of methods for addressing class imbalance in deep-learning based natural language processing
Many natural language processing (NLP) tasks are naturally imbalanced, as some target
categories occur much more frequently than others in the real world. In such scenarios …
categories occur much more frequently than others in the real world. In such scenarios …
A novel automated essay scoring approach for reliable higher educational assessments
E-learning is gradually gaining prominence in higher education, with universities enlarging
provision and more students getting enrolled. The effectiveness of automated essay scoring …
provision and more students getting enrolled. The effectiveness of automated essay scoring …
Discoprompt: Path prediction prompt tuning for implicit discourse relation recognition
Implicit Discourse Relation Recognition (IDRR) is a sophisticated and challenging task to
recognize the discourse relations between the arguments with the absence of discourse …
recognize the discourse relations between the arguments with the absence of discourse …
Unleashing the transformers: NLP models detect AI writing in education
J Campino - Journal of Computers in Education, 2024 - Springer
Artificial Intelligence (AI) has witnessed widespread application across diverse domains,
with education being a prominent focus for enhancing learning outcomes and tailoring …
with education being a prominent focus for enhancing learning outcomes and tailoring …
ByGPT5: End-to-end style-conditioned poetry generation with token-free language models
State-of-the-art poetry generation systems are often complex. They either consist of task-
specific model pipelines, incorporate prior knowledge in the form of manually created …
specific model pipelines, incorporate prior knowledge in the form of manually created …