LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models

This is a research survey published in ACM Computing Surveys that examines the limitations and problems of large language models (LLMs, which are AI systems trained on massive amounts of text data to generate human-like responses). The survey takes a data-driven approach to understand how LLM research has evolved as scientists discover and study these systems' weaknesses and constraints.