Combating misinformation in the age of llms: Opportunities and challenges
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …
and public trust. The emergence of large language models (LLMs) has great potential to …
Cognitive mirage: A review of hallucinations in large language models
As large language models continue to develop in the field of AI, text generation systems are
susceptible to a worrisome phenomenon known as hallucination. In this study, we …
susceptible to a worrisome phenomenon known as hallucination. In this study, we …
Siren's song in the AI ocean: a survey on hallucination in large language models
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
Explainability for large language models: A survey
Large language models (LLMs) have demonstrated impressive capabilities in natural
language processing. However, their internal mechanisms are still unclear and this lack of …
language processing. However, their internal mechanisms are still unclear and this lack of …
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 …
Marketing with chatgpt: Navigating the ethical terrain of gpt-based chatbot technology
ChatGPT is an AI-powered chatbot platform that enables human users to converse with
machines. It utilizes natural language processing and machine learning algorithms …
machines. It utilizes natural language processing and machine learning algorithms …
Rarr: Researching and revising what language models say, using language models
Language models (LMs) now excel at many tasks such as few-shot learning, question
answering, reasoning, and dialog. However, they sometimes generate unsupported or …
answering, reasoning, and dialog. However, they sometimes generate unsupported or …
Generative artificial intelligence
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms
of machine processing, shifting from data-driven, discriminative AI tasks toward …
of machine processing, shifting from data-driven, discriminative AI tasks toward …
Evaluating open-domain question answering in the era of large language models
Lexical matching remains the de facto evaluation method for open-domain question
answering (QA). Unfortunately, lexical matching fails completely when a plausible candidate …
answering (QA). Unfortunately, lexical matching fails completely when a plausible candidate …
From word models to world models: Translating from natural language to the probabilistic language of thought
How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …
meaning from language--and how can we leverage a theory of linguistic meaning to build …