Audio language models are benchmarked on five semantic and paralinguistic reasoning tasks to reveal limitations in handling spoken audio evidence, accent variation, and domain shifts.
, month = aug, year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper recommends shifting CS education from implementation skills to AI-native competencies, fundamental concepts, and critical evaluation based on workshop consensus.
citing papers explorer
-
Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents
Audio language models are benchmarked on five semantic and paralinguistic reasoning tasks to reveal limitations in handling spoken audio evidence, accent variation, and domain shifts.
-
Reshaping Undergraduate Computer Science Education in the Generative AI Era
The paper recommends shifting CS education from implementation skills to AI-native competencies, fundamental concepts, and critical evaluation based on workshop consensus.