Recent advancements in large language models (LLMs) have significantly advanced the
automation of software development tasks, including code synthesis, program repair, and …

The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

Contemporary evaluation techniques are inadequate for agentic systems. These
approaches either focus exclusively on final outcomes--ignoring the step-by-step nature of …

Language models for code (CodeLMs) have emerged as powerful tools for code-related
tasks, outperforming traditional methods and standard machine learning approaches …

GUIs have long been central to human-computer interaction, providing an intuitive and
visually-driven way to access and interact with digital systems. The advent of LLMs …

Instruction tuning is a supervised fine-tuning approach that significantly improves the ability
of large language models (LLMs) to follow human instructions. We propose SelfCodeAlign …

Large Language Models (LLMs) have significantly advanced software engineering (SE)
tasks, with prompt engineering techniques enhancing their performance in code-related …

LLM-powered coding and development assistants have become prevalent to programmers'
workflows. However, concerns about the trustworthiness of LLMs for code persist despite …

Language models (LMs) built upon deep neural networks (DNNs) have recently
demonstrated breakthrough effectiveness in software engineering tasks like code …

Large language models (LLMs) are one of the AI technologies that are transforming the
landscape of chemistry and materials science. Recent examples of LLM-accelerated …