activity
20162022
most citedERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

195 citations · 354 across the 20 of their papers we have counts for

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Showing cs.CLShow all

31 papers · 1 filter

cs.CL20223 cited

PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation

Siqi Bao, Huang He, Jun Xu +7

Recently, the practical deployment of open-domain dialogue systems has been plagued by the knowledge issue of information deficiency and factual inaccuracy. To this end, we introdu…

cs.CL202219 cited

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval

Yuxiang Lu, Yiding Liu, Jiaxiang Liu +8

Neural retrievers based on pre-trained language models (PLMs), such as dual-encoders, have achieved promising performance on the task of open-domain question answering (QA). Their…

cs.CL20222 cited

Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation

Shihang Wang, Xinchao Xu, Wenquan Wu +3

Emotional support is a crucial skill for many real-world scenarios, including caring for the elderly, mental health support, and customer service chats. This paper presents a novel…

cs.CL2022

Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals

Zeming Liu, Jun Xu, Zeyang Lei +3

Most dialog systems posit that users have figured out clear and specific goals before starting an interaction. For example, users have determined the departure, the destination, an…

cs.CL20225 cited

Long Time No See! Open-Domain Conversation with Long-Term Persona Memory

Xinchao Xu, Zhibin Gou, Wenquan Wu +4

Most of the open-domain dialogue models tend to perform poorly in the setting of long-term human-bot conversations. The possible reason is that they lack the capability of understa…

cs.CL2021

SgSum: Transforming Multi-document Summarization into Sub-graph Selection

Moye Chen, Wei Li, Jiachen Liu +3

Most of existing extractive multi-document summarization (MDS) methods score each sentence individually and extract salient sentences one by one to compose a summary, which have tw…