Diffusion models are increasingly favored over traditional approaches like generative
adversarial networks (GANs) and auto-regressive transformers due to their remarkable …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

One critical prerequisite for faithful text-to-image generation is the accurate understanding of
text inputs. Existing methods leverage the text encoder of the CLIP model to represent input …

Intelligent Transportation Systems (ITS) are vital in modern traffic management and
optimization, significantly enhancing traffic efficiency and safety. Recently, diffusion models …

As the open community of large language models (LLMs) matures, multimodal LLMs
(MLLMs) have promised an elegant bridge between vision and language. However, current …

Conversational Product Search (CPS) is confined to simulated conversations due to the lack
of real-world CPS datasets that reflect human-like language. Additionally, current …

LLMs driven products were increasingly prevalent in our daily lives, With a natural language
based interaction style, people may potentially leak their personal private information. Thus …

Despite the rapid advancements in generative AI, the integration of Large Language Models
(LLMs) with diffusion models remains an underexplored domain, with significant potential for …