research
∙
10/07/2022
Knowledge-Grounded Reinforcement Learning
Receiving knowledge, abiding by laws, and being aware of regulations are...
share
research
∙
10/07/2022
Atomized Deep Learning Models
Deep learning models often tackle the intra-sample structure, such as th...
research
∙
04/28/2022
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
A pressing challenge in current dialogue systems is to successfully conv...
research
∙
03/20/2022
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
Users interacting with voice assistants today need to phrase their reque...
research
∙
03/10/2022
Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision
Retinal implants have the potential to treat incurable blindness, yet th...
research
∙
09/10/2021
D-REX: Dialogue Relation Extraction with Explanations
Existing research studies on cross-sentence relation extraction in long-...
research
∙
08/04/2021
Parallelized Reverse Curriculum Generation
For reinforcement learning (RL), it is challenging for an agent to maste...
research
∙
06/11/2021
Local Explanation of Dialogue Response Generation
In comparison to the interpretation of classification models, the explan...
research
∙
02/08/2021
Quality Estimation without Human-labeled Data
Quality estimation aims to measure the quality of translated content wit...
research
∙
04/30/2020
Unsupervised Injection of Knowledge into Dialogue Generation via Language Models
Neural conversation models have shown the power to produce more meaningf...
research
∙
10/01/2019
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
Data-driven, knowledge-grounded neural conversation models are capable o...
research
∙
08/24/2018
Proximal Policy Optimization and its Dynamic Version for Sequence Generation
In sequence generation task, many works use policy gradient for model op...
research
∙
08/16/2018
Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation
Sequence generative adversarial networks (SeqGAN) have been used to impr...
research
∙
04/15/2018