An Artificial Intelligence (AI) agent is a software entity that autonomously performs tasks or
makes decisions based on pre-defined objectives and data inputs. AI agents, capable of …

Recent advancements in large language models (LLMs) have transformed the field of
question answering (QA). However, evaluating LLMs in the medical field is challenging due …

This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …

The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …

The deployment of multimodal large language models (MLLMs) has brought forth a unique
vulnerability: susceptibility to malicious attacks through visual inputs. This paper investigates …

Abstract Multimodal Large Language Models (MLLMs) excel in generating responses based
on visual inputs. However, they often suffer from a bias towards generating responses …

Generative models are rapidly gaining popularity and being integrated into everyday
applications, raising concerns over their safe use as various vulnerabilities are exposed. In …

Today's LLMs are susceptible to prompt injections, jailbreaks, and other attacks that allow
adversaries to overwrite a model's original instructions with their own malicious prompts. In …

Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated
applications, which perform text-based tasks by utilizing their advanced language …

Instruction-tuned Large Language Models (LLMs) show impressive results in numerous
practical applications, but they lack essential safety features that are common in other areas …