activity
20192023
most citedEmpDG: Multiresolution Interactive Empathetic Dialogue Generation

12 citations · 29 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023★ 2 cited

A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment

Jiyue Jiang, Sheng Wang, Qintong Li +2

When communicating with elders with cognitive impairment, cognitive stimulation (CS) help to maintain the cognitive health of elders. Data sparsity is the main challenge in buildin…

q-bio.BM2023★ 1 cited

Retrieved Sequence Augmentation for Protein Representation Learning

Chang Ma, Haiteng Zhao, Lin Zheng +7

Protein language models have excelled in a variety of tasks, ranging from structure prediction to protein engineering. However, proteins are highly diverse in functions and structu…

cs.CL2022

Explanation Regeneration via Information Bottleneck

Qintong Li, Zhiyong Wu, Lingpeng Kong +1

Explaining the black-box predictions of NLP models naturally and accurately is an important open problem in natural language generation. These free-text explanations are expected t…

cs.CL2022

Event Transition Planning for Open-ended Text Generation

Qintong Li, Piji Li, Wei Bi +3

Open-ended text generation tasks, such as dialogue generation and story completion, require models to generate a coherent continuation given limited preceding context. The open-end…

cs.CL2022★ 6 cited

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Jiacheng Ye, Jiahui Gao, Qintong Li +5

There is a growing interest in dataset generation recently due to the superior generative capacity of large pre-trained language models (PLMs). In this paper, we study a flexible a…

cs.CL2021★ 5 cited

Abstractive Opinion Tagging

Qintong Li, Piji Li, Xinyi Li +3

In e-commerce, opinion tags refer to a ranked list of tags provided by the e-commerce platform that reflect characteristics of reviews of an item. To assist consumers to quickly gr…

cs.CL2020★ 3 cited

Knowledge Bridging for Empathetic Dialogue Generation

Qintong Li, Piji Li, Zhaochun Ren +2

Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit emotions and learn emotional interactions from limited dialogue history. To address the…

cs.CL2019★ 12 cited

EmpDG: Multiresolution Interactive Empathetic Dialogue Generation

Qintong Li, Hongshen Chen, Zhaochun Ren +3

A humanized dialogue system is expected to generate empathetic replies, which should be sensitive to the users' expressed emotion. The task of empathetic dialogue generation is pro…