With the rapid progress of deep neural models and the explosion of available data
resources, dialogue systems that supports extensive topics and chit-chat conversations are …

Fairness is a key issue in many real decision-making applications. Existing Graph Neural
Network (GNN) models, designed for making non-discrimination decisions, are dependent …

In powder metallurgy, iron-based powders are compacted to so-called green bodies, which
undergo a subsequent sintering process. The microstructure of the green bodies affects the …

Supervised machine learning (ML) models are frequently trained on large datasets of
physics-based simulations with the aim of being applied to experimental data. However, ML …

Open-domain dialogue systems aim to converse with humans through text, and dialogue
research has heavily relied on benchmark datasets. In this work, we observe the …

We describe a real-time system that receives a live audio stream from a jam session and
generates lyric lines that are congruent with the live music being played. Two novel …

We investigate response generation for multi-turn dialogue in generative-based chatbots.
Existing generative models based on RNNs (Recurrent Neural Networks) usually employ …

Current variational dialog models have employed pre-trained language models (PLMs) to
parameterize the likelihood and posterior distributions. However, the Gaussian assumption …