Verification Task
Verification tasks in various fields aim to ensure the accuracy, reliability, and trustworthiness of systems and models. Current research focuses on developing robust verification methods across diverse domains, including image and document analysis (using recurrent and transformer-based models), logical reasoning (employing LLMs and symbolic methods), and autonomous systems (leveraging formal methods and data-driven approaches). These advancements are crucial for enhancing the safety and dependability of AI systems, robotic applications, and other technologies where reliable performance is paramount.
Papers
Assessing Trustworthiness of Autonomous Systems
Gregory Chance, Dhaminda B. Abeywickrama, Beckett LeClair, Owen Kerr, Kerstin Eder
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models
Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam