118 citations · 360 across the 17 of their papers we have counts for
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cs.CL2019★ 23 cited
Improving Sequence-to-Sequence Learning via Optimal Transport
Liqun Chen, Yizhe Zhang, Ruiyi Zhang +7
Sequence-to-sequence models are commonly trained via maximum likelihood estimation (MLE). However, standard MLE training considers a word-level objective, predicting the next word…
cs.CL2018★ 4 cited
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game
Haichao Zhang, Haonan Yu, Wei Xu
Building intelligent agents that can communicate with and learn from humans in natural language is of great value. Supervised language learning is limited by the ability of capturi…
cs.CL2017★ 6 cited
Listen, Interact and Talk: Learning to Speak via Interaction
Haichao Zhang, Haonan Yu, Wei Xu
One of the long-term goals of artificial intelligence is to build an agent that can communicate intelligently with human in natural language. Most existing work on natural language…