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 …
Factuality challenges in the era of large language models and opportunities for fact-checking
The emergence of tools based on large language models (LLMs), such as OpenAI's
ChatGPT and Google's Gemini, has garnered immense public attention owing to their …
ChatGPT and Google's Gemini, has garnered immense public attention owing to their …
Trustllm: Trustworthiness in large language models
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …
attention for their excellent natural language processing capabilities. Nonetheless, these …
[HTML][HTML] Position: TrustLLM: Trustworthiness in large language models
Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …
natural language processing capabilities. Nonetheless, these LLMs present many …
On the risk of misinformation pollution with large language models
In this paper, we comprehensively investigate the potential misuse of modern Large
Language Models (LLMs) for generating credible-sounding misinformation and its …
Language Models (LLMs) for generating credible-sounding misinformation and its …
Factuality challenges in the era of large language models
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's
ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention …
ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention …
Fake news detection via knowledgeable prompt learning
The spread of fake news has become a significant social problem, drawing great concern for
fake news detection (FND). Pretrained language models (PLMs), such as BERT and …
fake news detection (FND). Pretrained language models (PLMs), such as BERT and …
Zero-shot faithful factual error correction
Faithfully correcting factual errors is critical for maintaining the integrity of textual knowledge
bases and preventing hallucinations in sequence-to-sequence models. Drawing on humans' …
bases and preventing hallucinations in sequence-to-sequence models. Drawing on humans' …
Fake news detection: Taxonomy and comparative study
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …
pervasive issue of fake news within modern societies. Due to the large amount of …
End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
We propose end-to-end multimodal fact-checking and explanation generation, where the
input is a claim and a large collection of web sources, including articles, images, videos, and …
input is a claim and a large collection of web sources, including articles, images, videos, and …