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The impact of ChatGPT on higher education
Introduction This study explores the effects of Artificial Intelligence (AI) chatbots, with a
particular focus on OpenAI's ChatGPT, on Higher Education Institutions (HEIs). With the …
particular focus on OpenAI's ChatGPT, on Higher Education Institutions (HEIs). With the …
Ai alignment: A comprehensive survey
AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, so do risks from misalignment. To provide a comprehensive …
AI systems grow more capable, so do risks from misalignment. To provide a comprehensive …
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …
natural language processing (NLP), fueling a paradigm shift in information acquisition …
Detecting hallucinations in large language models using semantic entropy
Large language model (LLM) systems, such as ChatGPT or Gemini, can show impressive
reasoning and question-answering capabilities but often 'hallucinate'false outputs and …
reasoning and question-answering capabilities but often 'hallucinate'false outputs and …
A culturally sensitive test to evaluate nuanced gpt hallucination
The generative pretrained transformer (GPT) models, renowned for generating human-like
text, occasionally produce “hallucinations”—outputs that diverge from human expectations …
text, occasionally produce “hallucinations”—outputs that diverge from human expectations …
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 …
Survey of hallucination in natural language generation
Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …
the development of sequence-to-sequence deep learning technologies such as Transformer …
Evaluating large language models: A comprehensive survey
Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …
spectrum of tasks. They have attracted significant attention and been deployed in numerous …
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies
While large language models (LLMs) have shown remarkable effectiveness in various NLP
tasks, they are still prone to issues such as hallucination, unfaithful reasoning, and toxicity. A …
tasks, they are still prone to issues such as hallucination, unfaithful reasoning, and toxicity. A …
Hallucination detection: Robustly discerning reliable answers in large language models
Large language models (LLMs) have gained widespread adoption in various natural
language processing tasks, including question answering and dialogue systems. However …
language processing tasks, including question answering and dialogue systems. However …