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 …

Medical vision-language models (VLMs) combine computer vision (CV) and natural
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …

As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can
offer reliable and up-to-date external knowledge, providing huge convenience for numerous …

The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …

By providing external information to large language models (LLMs), tool augmentation
(including retrieval augmentation) has emerged as a promising solution for addressing the …

Retrieval-augmented generation (RAG) techniques have proven to be effective in integrating
up-to-date information, mitigating hallucinations, and enhancing response quality …

We present chain-of-knowledge (CoK), a novel framework that augments large language
models (LLMs) by dynamically incorporating grounding information from heterogeneous …

We explore how iterative revising a chain of thoughts with the help of information retrieval
significantly improves large language models' reasoning and generation ability in long …

Documents are visually rich structures that convey information through text, but also figures,
page layouts, tables, or even fonts. Since modern retrieval systems mainly rely on the textual …

With the ongoing rapid adoption of Artificial Intelligence (AI)-based systems in high-stakes
domains, ensuring the trustworthiness, safety, and observability of these systems has …