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 …
AI hallucinations: a misnomer worth clarifying
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …
systems have been shown to suffer from a problematic phenomenon often termed as" …
Llm lies: Hallucinations are not bugs, but features as adversarial examples
Large Language Models (LLMs), including GPT-3.5, LLaMA, and PaLM, seem to be
knowledgeable and able to adapt to many tasks. However, we still cannot completely trust …
knowledgeable and able to adapt to many tasks. However, we still cannot completely trust …
Sparks of large audio models: A survey and outlook
This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …
challenges in applying large language models to the field of audio signal processing. Audio …
Semantic entropy probes: Robust and cheap hallucination detection in llms
We propose semantic entropy probes (SEPs), a cheap and reliable method for uncertainty
quantification in Large Language Models (LLMs). Hallucinations, which are plausible …
quantification in Large Language Models (LLMs). Hallucinations, which are plausible …
Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches
Artificial intelligence (AI) is increasingly applied across all disciplines of medicine, including
dentistry. Oral health research is experiencing a rapidly increasing use of machine learning …
dentistry. Oral health research is experiencing a rapidly increasing use of machine learning …
Retrieving supporting evidence for generative question answering
Current large language models (LLMs) can exhibit near-human levels of performance on
many natural language-based tasks, including open-domain question answering …
many natural language-based tasks, including open-domain question answering …
Striking the balance in using LLMs for fact-checking: A narrative literature review
The launch of ChatGPT at the end of November 2022 triggered a general reflection on its
benefits for supporting fact-checking workflows and practices. Between the excitement of the …
benefits for supporting fact-checking workflows and practices. Between the excitement of the …
Knowledge-Based and Generative-AI-Driven Pedagogical Conversational Agents: A Comparative Study of Grice's Cooperative Principles and Trust
The emergence of generative language models (GLMs), such as OpenAI's ChatGPT, is
changing the way we communicate with computers and has a major impact on the …
changing the way we communicate with computers and has a major impact on the …
Large language models are efficient learners of noise-robust speech recognition
Recent advances in large language models (LLMs) have promoted generative error
correction (GER) for automatic speech recognition (ASR), which leverages the rich linguistic …
correction (GER) for automatic speech recognition (ASR), which leverages the rich linguistic …