activity
20192022
most citedThe Eighth Dialog System Technology Challenge

53 citations · 204 across the 11 of their papers we have counts for

collaborators

14 papers

cs.SD20221 cited

Spoofing-Aware Speaker Verification by Multi-Level Fusion

Haibin Wu, Lingwei Meng, Jiawen Kang +5

Recently, many novel techniques have been introduced to deal with spoofing attacks, and achieve promising countermeasure (CM) performances. However, these works only take the stand…

cs.CL20212 cited

SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching

Baolin Peng, Chunyuan Li, Zhu Zhang +3

In this paper we explore the use of symbolic knowledge and machine teaching to reduce human data labeling efforts in building neural task bots. We propose SYNERGY, a hybrid learnin…

cs.IR202112 cited

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Yu Wang, Jinchao Li, Tristan Naumann +12

Information overload is a prevalent challenge in many high-value domains. A prominent case in point is the explosion of the biomedical literature on COVID-19, which swelled to hund…

cs.CL20207 cited

RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems

Baolin Peng, Chunyuan Li, Zhu Zhang +3

For task-oriented dialog systems to be maximally useful, it must be able to process conversations in a way that is (1) generalizable with a small number of training examples for ne…

cs.CL202037 cited

Overview of the Ninth Dialog System Technology Challenge: DSTC9

Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro +36

This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in…

cs.AI202015 cited

Robust Conversational AI with Grounded Text Generation

Jianfeng Gao, Baolin Peng, Chunyuan Li +4

This article presents a hybrid approach based on a Grounded Text Generation (GTG) model to building robust task bots at scale. GTG is a hybrid model which uses a large-scale Transf…