Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Phonetic string transduction problems, such as letter-to-phoneme conversion and name transliteration, have recently received much attention in the NLP community. In the past few y...
Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...
A central problem in Interactive Question Answering (IQA) is how to answer Follow-Up Questions (FU Qs), possibly by taking advantage of information from the dialogue context. We a...
1 The paper proposes a new test model, Call-For-Testing (CFT), and applies it to User Acceptance Testing (UAT) of Web Applications. Different from traditional approaches, UAT in th...
Lian Yu, Wei Zhao, Xiaofeng Di, Changzhu Kong, Wen...
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...