ICST 2024 (series) / Research Papers /
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities
Fri 31 May 2024 11:00 - 11:20 at Room 2 & 3 - Testing with and for Deep and Reinforcement Learning Chair(s): Paolo Arcaini
Fri 31 MayDisplayed time zone: Eastern Time (US & Canada) change
Fri 31 May
Displayed time zone: Eastern Time (US & Canada) change
11:00 - 12:20 | Testing with and for Deep and Reinforcement LearningResearch Papers / Industry at Room 2 & 3 Chair(s): Paolo Arcaini National Institute of Informatics | ||
11:00 20mResearch paper | METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities Research Papers Sangwon Hyun University of Adelaide, Mingyu Guo , Muhammad Ali Babar School of Computer Science, The University of Adelaide | ||
11:20 20mIndustry talk | End-to-end RPA-like testing using reinforcement learning Industry Ciprian Paduraru University of Bucharest, Rares Cristea University of Bucharest, Alin Stefanescu University of Bucharest | ||
11:40 20mResearch paper | Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values Research Papers | ||
12:00 20mResearch paper | Learning Environment Models with Continuous Stochastic Dynamics - with an Application to Deep RL Testing Research Papers Martin Tappler TU Wien, Austria, Edi Muskardin , Bernhard Aichernig Graz University of Technology, Bettina Könighofer | ||