Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

H. Gao, T. Lin, H. Li, M. Yang, Y. Wu, W. Ma, and Y. Li. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yuchuan Jian

Yuchuan Xin

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Jinjin Wu

Yinghua Wu

Other publications of authors with the same name

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition.G. Hu, T. Lin, Y. Zhao, G. Lu, Y. Wu, and Y. Li. EMNLP, page 7837-7851. Association for Computational Linguistics, (2022)Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.H. Gao, T. Lin, H. Li, M. Yang, Y. Wu, W. Ma, and Y. Li. CoRR, (2023)Constructive Large Language Models Alignment with Diverse Feedback.T. Yu, T. Lin, Y. Wu, M. Yang, F. Huang, and Y. Li. CoRR, (2023)Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs.H. Feng, Y. Fan, X. Liu, T. Lin, Z. Yao, Y. Wu, F. Huang, Y. Li, and Q. Ma. CoRR, (2023)Multichannel biomedical time series clustering via hierarchical probabilistic latent semantic analysis.J. Wang, X. Sun, S. Nahavandi, A. Kouzani, Y. Wu, and M. She. Comput. Methods Programs Biomed., 117 (2): 238-246 (2014)GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection.W. He, Y. Dai, Y. Zheng, Y. Wu, Z. Cao, D. Liu, P. Jiang, M. Yang, F. Huang, L. Si and 2 other author(s). AAAI, page 10749-10757. AAAI Press, (2022)CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation.Y. Dai, W. He, B. Li, Y. Wu, Z. Cao, Z. An, J. Sun, and Y. Li. EMNLP, page 4097-4111. Association for Computational Linguistics, (2022)Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models.C. Chen, X. Wang, T. Lin, A. Lv, Y. Wu, X. Gao, J. Wen, R. Yan, and Y. Li. ACL (1), page 5872-5900. Association for Computational Linguistics, (2024)Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use.Y. Chen, A. Lv, T. Lin, C. Chen, Y. Wu, F. Huang, Y. Li, and R. Yan. ACL (1), page 11160-11174. Association for Computational Linguistics, (2024)FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents.R. Xiao, W. Ma, K. Wang, Y. Wu, J. Zhao, H. Wang, F. Huang, and Y. Li. CoRR, (2024)

BibSonomy

Disambiguation of "Wu, Yuchuan"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

Please choose a person to relate this publication to

Yuchuan Jian

Yuchuan Xin

Jinglan Wu

Jinjin Wu

Yinghua Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Yuchuan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

Please choose a person to relate this publication to

Yuchuan Jian

Yuchuan Xin

Jinglan Wu

Jinjin Wu

Yinghua Wu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.