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Data Manipulation: Towards Effective Instance Learning for Neural
  Dialogue Generation via Learning to Augment and Reweight
v1v2v3v4v5 (latest)

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
6 April 2020
Hengyi Cai
Hongshen Chen
Yonghao Song
Cheng Zhang
Xiaofang Zhao
D. Yin
ArXiv (abs)PDFHTML

Papers citing "Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight"

36 / 36 papers shown
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation
Zhengyi Zhao
Shubo Zhang
Bin Liang
Binyang Li
Kam-Fai Wong
SyDa
309
1
0
31 Mar 2025
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection
  in Language Models
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Minki Kang
Sung Ju Hwang
Gibbeum Lee
Jaewoong Cho
KELM
330
1
0
01 Nov 2024
Data Generation Using Large Language Models for Text Classification: An
  Empirical Case Study
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study
Yinheng Li
Rogerio Bonatti
Sara Abdali
Justin Wagle
K. Koishida
SyDa
356
12
0
27 Jun 2024
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning
  Compressor
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor
Chuankai Xu
Dongming Zhao
Bo Wang
Hanwen Xing
RALM
106
0
0
04 Jun 2024
Controllable and Diverse Data Augmentation with Large Language Model for
  Low-Resource Open-Domain Dialogue Generation
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation
Zhenhua Liu
Tong Zhu
Jianxiang Xiang
Wenliang Chen
335
5
0
30 Mar 2024
Exploring the Reversal Curse and Other Deductive Logical Reasoning in
  BERT and GPT-Based Large Language Models
Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models
Da Wu
Jing Yang
Kai Wang
LRM
314
11
0
06 Dec 2023
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionInternational Conference on Machine Learning (ICML), 2023
Zeyuan Allen-Zhu
Yuanzhi Li
KELM
666
258
0
25 Sep 2023
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"International Conference on Learning Representations (ICLR), 2023
Lukas Berglund
Meg Tong
Max Kaufmann
Mikita Balesni
Asa Cooper Stickland
Tomasz Korbak
Owain Evans
LRM
584
448
0
21 Sep 2023
Taken out of context: On measuring situational awareness in LLMs
Taken out of context: On measuring situational awareness in LLMs
Lukas Berglund
Asa Cooper Stickland
Mikita Balesni
Max Kaufmann
Meg Tong
Tomasz Korbak
Daniel Kokotajlo
Owain Evans
LLMAGLRM
254
116
0
01 Sep 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction
  Tasks
GDA: Generative Data Augmentation Techniques for Relation Extraction TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuming Hu
Aiwei Liu
Zeqi Tan
Xin Zhang
Chenwei Zhang
Irwin King
Philip S. Yu
390
21
0
26 May 2023
Learning towards Selective Data Augmentation for Dialogue Generation
Learning towards Selective Data Augmentation for Dialogue GenerationAAAI Conference on Artificial Intelligence (AAAI), 2023
Preslav Nakov
Mingzhe Li
Jiayi Zhang
Xiaoqiang Xia
Chen Wei
Jianwei Cui
Xin Gao
Xiangliang Zhang
Rui Yan
250
7
0
17 Mar 2023
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination
  Prediction
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction
Cai Yang
Addie Woicik
Hoifung Poon
Sheng Wang
338
4
0
14 Feb 2023
Selective In-Context Data Augmentation for Intent Detection using
  Pointwise V-Information
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-InformationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Yen-Ting Lin
Alexandros Papangelis
Seokhwan Kim
Sungjin Lee
Devamanyu Hazarika
Mahdi Namazifar
Di Jin
Yang Liu
Dilek Z. Hakkani-Tür
189
44
0
10 Feb 2023
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for
  Event Extraction
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jun Gao
Changlong Yu
Wei Wang
Huan Zhao
Ruifeng Xu
233
38
0
06 Jan 2023
Counterfactual Data Augmentation via Perspective Transition for
  Open-Domain Dialogues
Counterfactual Data Augmentation via Perspective Transition for Open-Domain DialoguesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiao Ou
Jinchao Zhang
Yang Feng
Jie Zhou
269
15
0
30 Oct 2022
Entity-to-Text based Data Augmentation for various Named Entity
  Recognition Tasks
Entity-to-Text based Data Augmentation for various Named Entity Recognition TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xuming Hu
Yong Jiang
Aiwei Liu
Zhongqiang Huang
Pengjun Xie
Fei Huang
Lijie Wen
Philip S. Yu
292
19
0
19 Oct 2022
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for
  Curriculum Data Augmentation
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data AugmentationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Hongyuan Lu
W. Lam
276
13
0
17 Aug 2022
Stop Filtering: Multi-View Attribute-Enhanced Dialogue Learning
Stop Filtering: Multi-View Attribute-Enhanced Dialogue LearningKnowledge-Based Systems (KBS), 2022
Yiwei Li
Bin Sun
Shaoxiong Feng
Kan Li
239
5
0
23 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Le Zhang
Zichao Yang
Diyi Yang
315
26
0
12 May 2022
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue
  Generation
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yu Cao
Wei Bi
Meng Fang
Shuming Shi
Dacheng Tao
168
57
0
21 Apr 2022
Data Augmentation for Biomedical Factoid Question Answering
Data Augmentation for Biomedical Factoid Question AnsweringWorkshop on Biomedical Natural Language Processing (BioNLP), 2022
Dimitris Pappas
Prodromos Malakasiotis
Ion Androutsopoulos
MedIm
202
15
0
10 Apr 2022
Rethinking and Refining the Distinct Metric
Rethinking and Refining the Distinct MetricAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Siyang Liu
Sahand Sabour
Yinhe Zheng
Pei Ke
Xiaoyan Zhu
Shiyu Huang
466
27
0
28 Feb 2022
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue
  Datasets
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue DatasetsInternational Conference on Language Resources and Evaluation (LREC), 2022
Yuqiao Wen
Guoqing Luo
Lili Mou
280
10
0
17 Jan 2022
A Speaker-aware Parallel Hierarchical Attentive Encoder-Decoder Model
  for Multi-turn Dialogue Generation
A Speaker-aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-turn Dialogue Generation
Zihao Wang
Ming Jiang
Junli Wang
339
1
0
13 Oct 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text
  Classification
Text AutoAugment: Learning Compositional Augmentation Policy for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Shuhuai Ren
Jinchao Zhang
Lei Li
Xu Sun
Jie Zhou
170
36
0
01 Sep 2021
Data Augmentation for Low-Resource Named Entity Recognition Using
  Backtranslation
Data Augmentation for Low-Resource Named Entity Recognition Using BacktranslationICON (ICON), 2021
Usama Yaseen
Stefan Langer
MedIm
230
21
0
26 Aug 2021
Energy-based Unknown Intent Detection with Data Manipulation
Energy-based Unknown Intent Detection with Data ManipulationFindings (Findings), 2021
Yawen Ouyang
Jiasheng Ye
Yu Chen
Xinyu Dai
Shujian Huang
Jiajun Chen
147
26
0
27 Jul 2021
Similarity Based Label Smoothing For Dialogue Generation
Similarity Based Label Smoothing For Dialogue GenerationICON (ICON), 2021
Sougata Saha
Souvik Das
Rohini Srihari
223
3
0
23 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL), 2021
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
297
223
0
14 Jun 2021
Diversifying Dialog Generation via Adaptive Label Smoothing
Diversifying Dialog Generation via Adaptive Label SmoothingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yida Wang
Yinhe Zheng
Yong Jiang
Shiyu Huang
289
38
0
30 May 2021
Data Augmentation for Text Generation Without Any Augmented Data
Data Augmentation for Text Generation Without Any Augmented DataAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Wei Bi
Huayang Li
Jiacheng Huang
153
7
0
28 May 2021
Towards Standard Criteria for human evaluation of Chatbots: A Survey
Towards Standard Criteria for human evaluation of Chatbots: A Survey
Hongru Liang
Huaqing Li
191
17
0
24 May 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLPFindings (Findings), 2021
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
791
955
0
07 May 2021
An Analysis of Simple Data Augmentation for Named Entity Recognition
An Analysis of Simple Data Augmentation for Named Entity Recognition
Xiang Dai
Heike Adel
368
221
0
22 Oct 2020
Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired
  Data
Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Rongsheng Zhang
Yinhe Zheng
Jianzhi Shao
Xiaoxi Mao
Yadong Xi
Shiyu Huang
292
29
0
20 Sep 2020
Enhancing Dialogue Generation via Multi-Level Contrastive Learning
Enhancing Dialogue Generation via Multi-Level Contrastive Learning
Xin Li
Piji Li
Yan Wang
Xiaojiang Liu
Wai Lam
248
5
0
19 Sep 2020
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