The remarkable ability of large language models (LLMs) to comprehend, interpret, and
generate complex language has rapidly integrated LLM-generated text into various aspects …

We fine-tune large language models to write natural language critiques (natural language
critical comments) using behavioral cloning. On a topic-based summarization task, critiques …

Large language models (LLMs) have demonstrated remarkable capability to generate fluent
responses to a wide variety of user queries. However, this has also raised concerns about …

While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities,
fine-tuning these models on downstream, domain-specific datasets is often necessary to …

Challenges, experiments, and computational solutions in peer review Page 1 76
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …

Given the rapid ascent of large language models (LLMs), we study the question:(How) can
large language models help in reviewing of scientific papers or proposals? We first conduct …

With the tremendous growth in the number of scientific papers being published, searching
for references while writing a scientific paper is a time-consuming process. A technique that …

Thousands of new scientific papers are published each month. Such information overload
complicates researcher efforts to stay current with the state-of-the-art as well as to verify and …

Multi-tier supply chains in Industry 4.0 are critical emerging issues today. This article briefly
examines the Industry 4.0 policies in different countries. In order to decide on a better model …

Recent advances in Large Language Models (LLMs) show the potential to significantly
augment or even replace complex human writing activities. However, for complex tasks …