Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …

Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …

Despite the remarkable performance of generative large language models (LLMs) on
abstractive summarization, they face two significant challenges: their considerable size and …

While large language models (LLMs) have demonstrated increasing power, they have also
given rise to a wide range of harmful behaviors. As representatives, jailbreak attacks can …

Abstractive dialogue summarization is the task of distilling conversations into informative
and concise summaries. Although focused reviews have been conducted on this topic, there …

Existing research in measuring and mitigating gender bias predominantly centers on
English, overlooking the intricate challenges posed by non-English languages and the …

Large Language Models (LLMs) have demonstrated impressive capabilities to solve a wide
range of tasks without being explicitly fine-tuned on task-specific datasets. However …

Meeting summarization has become a critical task since digital encounters have become a
common practice. Large language models (LLMs) show great potential in summarization …

Introduction Recent developments in the field of large language models have showcased
impressive achievements in their ability to perform natural language processing tasks …

Mixed-media tutorials, which integrate videos, images, text, and diagrams to teach
procedural skills, offer more browsable alternatives than timeline-based videos. However …