activity
20152025
most citedInstruction Tuning with GPT-4

189 citations · 683 across the 30 of their papers we have counts for

collaborators
Showing 2020Show all

13 papers · 1 filter

cs.CL202051 cited

Few-Shot Named Entity Recognition: A Comprehensive Study

Jiaxin Huang, Chunyuan Li, Krishan Subudhi +6

This paper presents a comprehensive study to efficiently build named entity recognition (NER) systems when a small number of in-domain labeled data is available. Based upon recent…

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…

cs.CL20207 cited

Meta Dialogue Policy Learning

Yumo Xu, Chenguang Zhu, Baolin Peng +1

Dialog policy determines the next-step actions for agents and hence is central to a dialogue system. However, when migrated to novel domains with little data, a policy model can fa…

cs.CL20206 cited

Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation

Ryuichi Takanobu, Qi Zhu, Jinchao Li +3

There is a growing interest in developing goal-oriented dialog systems which serve users in accomplishing complex tasks through multi-turn conversations. Although many methods are…