Conversational search systems enable information retrieval via natural language
interactions, with the goal of maximizing users' information gain over multiple dialogue turns …

Currently, most applications in the Industrial Internet of Things (IIoT) still rely on CNN-based
neural networks. Although Transformer-based large models (LMs), including language …

The question-answering system for Life science research, which is characterized by the
rapid pace of discovery, evolving insights, and complex interactions among knowledge …

Major cloud providers have employed advanced AI-based solutions like large language
models to aid humans in identifying the root causes of cloud incidents. Even though AI …

Modern language models (LMs) pose a new challenge in capability assessment. Static
benchmarks inevitably saturate without providing confidence in the deployment tolerances …

Augmenting Large Language Models (LLMs) for Question Answering (QA) with domain
specific data has attracted wide attention. However, domain data often exists in a hybrid …

This study focuses on the evaluation of the Open Question Answering (Open-QA) task,
which can directly estimate the factuality of large language models (LLMs). Current …

Effective incident management is pivotal for the smooth operation of enterprises-level cloud
services. In order to expedite incident mitigation, service teams compile troubleshooting …

Large Language Models have found application in various mundane and repetitive tasks
including Human Resource (HR) support. We worked with the domain experts of SAP SE to …

In recent years, there has been a surge in research efforts dedicated to harnessing the
capabilities of Large Language Models (LLMs) in various domains, particularly in material …