Yi-Lin Tuan | DeepAI

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∙ 10/07/2022

Knowledge-Grounded Reinforcement Learning

Receiving knowledge, abiding by laws, and being aware of regulations are...

0 Zih-Yun Chiu, et al. ∙

∙ 10/07/2022

Atomized Deep Learning Models

Deep learning models often tackle the intra-sample structure, such as th...

0 Yi-Lin Tuan, et al. ∙

∙ 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...

0 Kai Nakamura, et al. ∙

∙ 03/20/2022

Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems

Users interacting with voice assistants today need to phrase their reque...

0 Yi-Lin Tuan, et al. ∙

∙ 03/10/2022

Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision

Retinal implants have the potential to treat incurable blindness, yet th...

0 Lucas Relic, et al. ∙

∙ 09/10/2021

D-REX: Dialogue Relation Extraction with Explanations

Existing research studies on cross-sentence relation extraction in long-...

16 Alon Albalak, et al. ∙

∙ 08/04/2021

Parallelized Reverse Curriculum Generation

For reinforcement learning (RL), it is challenging for an agent to maste...

0 Zih-Yun Chiu, et al. ∙

∙ 06/11/2021

Local Explanation of Dialogue Response Generation

In comparison to the interpretation of classification models, the explan...

12 Yi-Lin Tuan, et al. ∙

∙ 02/08/2021

Quality Estimation without Human-labeled Data

Quality estimation aims to measure the quality of translated content wit...

0 Yi-Lin Tuan, et al. ∙

∙ 04/30/2020

Unsupervised Injection of Knowledge into Dialogue Generation via Language Models

Neural conversation models have shown the power to produce more meaningf...

0 Yi-Lin Tuan, et al. ∙

∙ 10/01/2019

DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

Data-driven, knowledge-grounded neural conversation models are capable o...

14 Yi-Lin Tuan, et al. ∙

∙ 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...

0 Yi-Lin Tuan, et al. ∙

∙ 08/16/2018

Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation

Sequence generative adversarial networks (SeqGAN) have been used to impr...

0 Yi-Lin Tuan, et al. ∙

∙ 04/15/2018

Transcribing Lyrics From Commercial Song Audio: The First Step Towards Singing Content Processing

Spoken content processing (such as retrieval and browsing) is maturing, ...

0 Che-Ping Tsai, et al. ∙

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