Larisa Shwartz — accepted AI-conference papers

2024

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz +2

AAAI 2024technical

Accurately typing entity mentions from text segments is a fundamental task for various natural language processing applications. Many previous approaches rely on massive human-annotated data to perform entity typing. Nevertheless, collecting such data in highly specialized science and engineering do…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2023

Fault Injection Based Interventional Causal Learning for Distributed Applications

Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang +3

AAAI 2023technical

We apply the machinery of interventional causal learning with programmable interventions to the domain of applications management. Modern applications are modularized into interdependent components or services (e.g. microservices) for ease of development and management. The communication graph among…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗