This groundbreaking study explores the expanse of Large Language Models (LLMs), such
as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations …

Large language models (LLMs), such as GPT series models, have received substantial
attention due to their impressive capabilities for generating and understanding human-level …

Jailbreak attacks aim to induce Large Language Models (LLMs) to generate harmful
responses for forbidden instructions, presenting severe misuse threats to LLMs. Up to now …

Recommendation systems aim to provide users with relevant suggestions, but often lack
interpretability and fail to capture higher-level semantic relationships between user …

The rapid advancement in text-to-video (T2V) generative models has enabled the synthesis
of high-fidelity video content guided by textual descriptions. Despite this significant progress …

As personalized recommendation systems become vital in the age of information overload,
traditional methods relying solely on historical user interactions often fail to fully capture the …

GUIs have long been central to human-computer interaction, providing an intuitive and
visually-driven way to access and interact with digital systems. The advent of LLMs …

Instruction-based computer control agents (CCAs) execute complex action sequences on
personal computers or mobile devices to fulfill tasks using the same graphical user …

In safety-critical applications where a human is in the loop, providing timely contextual
assistance can reduce the severity of emergencies. While the context can typically be …

Theory of Mind (ToM), the ability to attribute mental states to others and predict their
behaviour, is fundamental to social intelligence. In this paper, we survey studies evaluating …