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Found 4 papers, 1 papers with code
Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom
While all models generate largely fluent and self-consistent text, their explanations score low on reasonability except for GPT-4, suggesting that most LLMs cannot produce satisfactory explanations of the implicatures in the conversation.
Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks
In this paper, we introduce a robust PINN-based framework designed to identify material parameters for soft materials, specifically those exhibiting complex constitutive behaviors, under large deformation in plane stress conditions.
Influence of Lossy Speech Codecs on Hearing-aid, Binaural Sound Source Localisation using DNNs
Hearing aids are typically equipped with multiple microphones to exploit spatial information for source localisation and speech enhancement.
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech
We show that the use of noise-floor features is complementary to multi-condition training in which foreground speech is added to training signal to reduce the mismatch between training and testing conditions.
