activity
20192024
most citedWizardLM: Empowering large pre-trained language models to follow complex instructions

109 citations · 428 across the 36 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CL2021★ 9 cited

EventBERT: A Pre-Trained Model for Event Correlation Reasoning

Yucheng Zhou, Xiubo Geng, Tao Shen +2

Event correlation reasoning infers whether a natural language paragraph containing multiple events conforms to human common sense. For example, "Andrew was very drowsy, so he took…

cs.CL2021★ 5 cited

Multimodal Dialogue Response Generation

Qingfeng Sun, Yujing Wang, Can Xu +7

Responsing with image has been recognized as an important capability for an intelligent conversational agent. Yet existing works only focus on exploring the multimodal dialogue mod…

cs.CL2021★ 1 cited

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning

Chongyang Tao, Jiazhan Feng, Chang Liu +3

Establishing retrieval-based dialogue systems that can select appropriate responses from the pre-built index has gained increasing attention from researchers. For this task, the ad…

cs.CL2021★ 1 cited

Learning Neural Templates for Recommender Dialogue System

Zujie Liang, Huang Hu, Can Xu +6

Though recent end-to-end neural models have shown promising progress on Conversational Recommender System (CRS), two key challenges still remain. First, the recommended items canno…

cs.CL2021★ 1 cited

Maria: A Visual Experience Powered Conversational Agent

Zujie Liang, Huang Hu, Can Xu +5

Arguably, the visual perception of conversational agents to the physical world is a key way for them to exhibit the human-like intelligence. Image-grounded conversation is thus pro…

cs.CL2021★ 2 cited

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding

Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling +3

Recently, various neural models for multi-party conversation (MPC) have achieved impressive improvements on a variety of tasks such as addressee recognition, speaker identification…