While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

Large Language Models (LLMs) have emerged as a groundbreaking technology with their
unparalleled text generation capabilities across various applications. Nevertheless …

Large language models have exhibited emergent abilities, demonstrating exceptional
performance across diverse tasks for which they were not explicitly trained, including those …

Recent research has made significant strides in applying alignment techniques to enhance
the helpfulness and harmlessness of large language models (LLMs) in accordance with …

Large Language Models (LLMs) bring transformative benefits alongside unique challenges,
including intellectual property (IP) and ethical concerns. This position paper explores a …

Log parsing transforms log messages into structured formats, serving as the prerequisite
step for various log analysis tasks. Although a variety of log parsing approaches have been …

In this paper, we investigate the in-context learning ability of retrieval-augmented encoder-
decoder language models. We first conduct a comprehensive analysis of the state-of-the-art …

Static analysis is a widely used technique in software engineering for identifying and
mitigating bugs. However, a significant hurdle lies in achieving a delicate balance between …

Despite their impressive capabilities, large language models (LLMs) have been observed to
generate responses that include inaccurate or fabricated information, a phenomenon …