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cs.CL2023
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow +1
State-of-the-art NLP methods achieve human-like performance on many tasks, but make errors nevertheless. Characterizing these errors in easily interpretable terms gives insight int…
cs.CL2023★ 1 cited
Towards Concept-Aware Large Language Models
Chen Shani, Jilles Vreeken, Dafna Shahaf
Concepts play a pivotal role in various human cognitive functions, including learning, reasoning and communication. However, there is very little work on endowing machines with the…