Large language models (LLMs) augmented with external data have demonstrated
remarkable capabilities in completing real-world tasks. Techniques for integrating external …

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

Large Language Models (LLMs) gain substantial reasoning and decision-making
capabilities from thought structures. However, existing methods such as Tree of Thought and …

Planning remains one of the last standing bastions for large language models (LLMs), which
now turn their attention to search. Most of the literature uses the language models as world …

In real-world applications with Large Language Models (LLMs), external retrieval
mechanisms-such as Search-Augmented Generation (SAG), tool utilization, and Retrieval …

From RAG/RAT to SAGE: Parallel Driving for Smart Mobility Page 1 IEEE
TRANSACTIONS ON INTELLIGENT VEHICLES, VOL. 9, NO. 5, MAY 2024 4821 From RAG/RAT …

Offline evaluation of LLMs is crucial in understanding their capacities, though current
methods remain underexplored in existing research. In this work, we focus on the offline …

Large language models (LLM) hold significant potential for applications in biomedicine, but
they struggle with hallucinations and outdated knowledge. While retrieval-augmented …

This paper presents OmniJARVIS, a novel Vision-Language-Action (VLA) model for open-
world instruction-following agents in Minecraft. Compared to prior works that either emit …

Large language model (LLM) has proven to benefit a lot from retrieval augmentation in
alleviating hallucinations confronted with knowledge-intensive questions. Retrieval …