Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Large multimodal models (LMMs) extend large language models (LLMs) with multi-sensory
skills, such as visual understanding, to achieve stronger generic intelligence. In this paper …

The recent advancements in large language models (LLMs) have sparked a growing
apprehension regarding the potential misuse. One approach to mitigating this risk is to …

Large language models (LLMs) have notably enhanced the fluency and diversity of machine-
generated text. However, this progress also presents a significant challenge in detecting the …

Watermarking generative models consists of planting a statistical signal (watermark) in a
model's output so that it can be later verified that the output was generated by the given …

With the advent of fluent generative language models that can produce convincing
utterances very similar to those written by humans, distinguishing whether a piece of text is …

The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT
have led to an increase in synthetic content generation with implications across a variety of …

With ChatGPT under the spotlight, utilizing large language models (LLMs) for academic
writing has drawn a significant amount of discussions and concerns in the community. While …

Large Language Models (LLMs) have revolutionized the domain of natural language
processing (NLP) with remarkable capabilities of generating human-like text responses …