The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …

Language models (LMs) have demonstrated remarkable capabilities across a wide range of
tasks in various domains. Despite their impressive performance, the reliability of their output …

Artificial intelligence (AI), especially the most recent large language models (LLMs), holds
great promise in healthcare and medicine, with applications spanning from biological …

Large language models encode impressively broad world knowledge in their parameters.
However, the knowledge in static language models falls out of date, limiting the model's …

Large language models (LLMs) often produce unsupported or unverifiable content, known
as" hallucinations." To mitigate this, retrieval-augmented LLMs incorporate citations …

Large Language Models (LLMs) are notorious for blending fact with fiction and generating
non-factual content, known as hallucinations. To address this challenge, we propose an …

We analyze the behaviors of open large language models (LLMs) on the task of data-to-text
(D2T) generation, ie, generating coherent and relevant text from structured data. To avoid …

The Counter Narrative (CN) is a promising approach to combat online hate speech (HS)
without infringing on freedom of speech. In recent years, there has been a growing interest …

Due to the rapid generation and dissemination of information, large language models
(LLMs) quickly run out of date despite enormous development costs. Due to this crucial need …

Explainable AI (XAI) refers to techniques that provide human-understandable insights into
the workings of AI models. Recently, the focus of XAI is being extended towards Large …