activity
20182022
most citedTask-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

24 citations · 42 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI2022

DANLI: Deliberative Agent for Following Natural Language Instructions

Yichi Zhang, Jianing Yang, Jiayi Pan +6

Recent years have seen an increasing amount of work on embodied AI agents that can perform tasks by following human language instructions. However, most of these agents are reactiv…

cs.AI20216 cited

Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring

Yichi Zhang, Joyce Chai

Despite recent progress, learning new tasks through language instructions remains an extremely challenging problem. On the ALFRED benchmark for task learning, the published state-o…

cs.CL2020

A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning

Yichi Zhang, Zhijian Ou, Huixin Wang +1

Structured belief states are crucial for user goal tracking and database query in task-oriented dialog systems. However, training belief trackers often requires expensive turn-leve…

cs.CL202012 cited

Paraphrase Augmented Task-Oriented Dialog Generation

Silin Gao, Yichi Zhang, Zhijian Ou +1

Neural generative models have achieved promising performance on dialog generation tasks if given a huge data set. However, the lack of high-quality dialog data and the expensive da…

cs.CL201924 cited

Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

Yichi Zhang, Zhijian Ou, Zhou Yu

Conversations have an intrinsic one-to-many property, which means that multiple responses can be appropriate for the same dialog context. In task-oriented dialogs, this property le…

stat.ML2018

Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning

Yichi Zhang, Zhijian Ou

An ensemble of neural networks is known to be more robust and accurate than an individual network, however usually with linearly-increased cost in both training and testing. In thi…