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Found 6 papers, 1 papers with code
Contrastive Response Pairs for Automatic Evaluation of Non-task-oriented Neural Conversational Models
Responses generated by neural conversational models (NCMs) for non-task-oriented systems are difficult to evaluate.
D-Bot: Database Diagnosis System using Large Language Models
Database administrators (DBAs) play an important role in managing, maintaining and optimizing database systems.
Topic-switch adapted Japanese Dialogue System based on PLATO-2
Furthermore, our proposed topic-switch algorithm achieves an average score of 1. 767 and outperforms PLATO-JDS by 0. 267, indicating its effectiveness in improving the user experience of our system.
Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval
In this paper, to reduce the interference of hard negative samples in representation learning, we propose a new AV-CMR model to optimize semantic features by directly predicting labels and then measuring the intrinsic correlation between audio-visual data using complete cross-triple loss.
Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval
On the one hand, audio encoder and visual encoder separately encode audio data and visual data into two different latent spaces.
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders
Recursive autoencoders (RAEs) for compositionality of a vector space model were applied to utterance intent classification of a smartphone-based Japanese-language spoken dialogue system.
