The whole cycle for manufacturing aerospace thin-walled shells is a lengthy and
sophisticated process. A large amount of quality-related data exists within and between …

Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming
increasingly essential, and initial approaches yield promising results. However, little …

In this technical report, we present TeleChat, a collection of large language models (LLMs)
with parameters of 3 billion, 7 billion and 12 billion. It includes pretrained language models …

With the rapid advancement of large language models (LLMs), there is a pressing need for a
comprehensive evaluation suite to assess their capabilities and limitations. Existing LLM …

Cultural biases in multilingual datasets pose significant challenges for their effectiveness as
global benchmarks. These biases stem not only from language but also from the cultural …

Abstract Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming
increasingly essential, and initial approaches yield promising results. However, little …

There exists an extremely wide array of LLM benchmarking tasks, whereas oftentimes a
single number is the most actionable for decision-making, especially by non-experts. No …

Abstract Generative Artificial Intelligence (AI) and Large Language Models (LLMs) are
revolutionizing technology and society thanks to their versatility and applicability to a wide …

As language models grow more influential and trusted in our society, our ability to reliably
steer them toward favorable behaviors becomes increasingly paramount. For this, we …