activity
20162024
most citedA Static and Dynamic Attention Framework for Multi Turn Dialogue Generation

15 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 15 cited

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation

Wei-Nan Zhang, Yiming Cui, Kaiyan Zhang +4

Recently, research on open domain dialogue systems have attracted extensive interests of academic and industrial researchers. The goal of an open domain dialogue system is to imita…

cs.CL2022★ 4 cited

A Survey on Natural Language Processing for Programming

Qingfu Zhu, Xianzhen Luo, Fang Liu +2

Natural language processing for programming aims to use NLP techniques to assist programming. It is increasingly prevalent for its effectiveness in improving productivity. Distinct…

cs.LG2020★ 1 cited

Counterfactual Off-Policy Training for Neural Response Generation

Qingfu Zhu, Weinan Zhang, Ting Liu +1

Open-domain dialogue generation suffers from the data insufficiency problem due to the vast size of potential responses. In this paper, we propose to explore potential responses by…

cs.CL2017★ 15 cited

Neural Personalized Response Generation as Domain Adaptation

Weinan Zhang, Ting Liu, Yifa Wang +1

In this paper, we focus on the personalized response generation for conversational systems. Based on the sequence to sequence learning, especially the encoder-decoder framework, we…

cs.CL2016★ 9 cited

Learning to Start for Sequence to Sequence Architecture

Qingfu Zhu, Weinan Zhang, Lianqiang Zhou +1

The sequence to sequence architecture is widely used in the response generation and neural machine translation to model the potential relationship between two sentences. It typical…