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 …

Recently, large language models (LLMs) have attracted considerable attention due to their
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …

While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

Abstract Retrieval-Augmented Language Modeling (RALM) methods, which condition a
language model (LM) on relevant documents from a grounding corpus during generation …

The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …

In the rapidly evolving landscape of artificial intelligence (AI), generative large language
models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However …

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …

As language models are adapted by a more sophisticated and diverse set of users, the
importance of guaranteeing that they provide factually correct information supported by …

Large language models (LLMs) often encounter knowledge conflicts, scenarios where
discrepancy arises between the internal parametric knowledge of LLMs and non-parametric …

The increased use of large language models (LLMs) across a variety of real-world
applications calls for mechanisms to verify the factual accuracy of their outputs. In this work …