We introduce" HallusionBench" a comprehensive benchmark designed for the evaluation of
image-context reasoning. This benchmark presents significant challenges to advanced large …

Large language models (LLMs), after being aligned with vision models and integrated into
vision-language models (VLMs), can bring impressive improvement in image reasoning …

Large Vision-Language Models (LVLMs) show significant strides in general-purpose
multimodal applications such as visual dialogue and embodied navigation. However …

A chief goal of artificial intelligence is to build machines that think like people. Yet it has
been argued that deep neural network architectures fail to accomplish this. Researchers …

Abstract Large Vision-Language Models (VLMs) have already been applied to the
understanding of Graphical User Interfaces (GUIs) and have achieved notable results …

The advent of Vision Language Models (VLM) has allowed researchers to investigate the
visual understanding of a neural network using natural language. Beyond object …

With the continuous development of large language models (LLMs), transformer-based
models have made groundbreaking advances in numerous natural language processing …

Spatial expressions in situated communication can be ambiguous, as their meanings vary
depending on the frames of reference (FoR) adopted by speakers and listeners. While …

Bistable images, also known as ambiguous or reversible images, present visual stimuli that
can be seen in two distinct interpretations, though not simultaneously by the observer. In this …

Multimodal large language models (MLLMs) have shown impressive capabilities in
document understanding, a rapidly growing research area with significant industrial demand …