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Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.

G. Dong, J. Zhao, T. Hui, D. Guo, W. Wang, B. Feng, Y. Qiu, Z. Gongque, K. He, Z. Wang, and W. Xu. CoRR, (2023)

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Michael Döngi

Purinerge und GAbAerge Calciumsignale in Astrozyten des Bulbus olfactorius der MausM. Döngi. TU Kaiserslautern, (2009)

Dong Chen

Acceleration of the spatial selective excitation of MRI via sparse approximationD. Chen. TU München, (2009)

Dieter Dönges

Xian-Quan Dong

Nguyen thi Phuong Dong

Other publications of authors with the same name

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.Y. Wang, K. He, G. Dong, P. Wang, W. Zeng, M. Diao, Y. Mou, M. Zhang, J. Wang, X. Cai and 1 other author(s). CoRR, (2024)How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.G. Dong, H. Yuan, K. Lu, C. Li, M. Xue, D. Liu, W. Wang, Z. Yuan, C. Zhou, and J. Zhou. CoRR, (2023)Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction.G. Zhao, Y. Shi, S. Lu, X. Yang, G. Dong, J. Xu, X. Gong, and S. Li. CoRR, (2023)Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting.X. Li, L. Wang, G. Dong, K. He, J. Zhao, H. Lei, J. Liu, and W. Xu. ACL (Findings), page 825-834. Association for Computational Linguistics, (2023)Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations.D. Guo, G. Dong, D. Fu, Y. Wu, C. Zeng, T. Hui, L. Wang, X. Li, Z. Wang, K. He and 2 other author(s). ICASSP, page 1-5. IEEE, (2023)OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models.M. Xue, D. Liu, K. Yang, G. Dong, W. Lei, Z. Yuan, C. Zhou, and J. Zhou. CoRR, (2023)PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability.D. Fu, J. Huang, S. Lu, G. Dong, Y. Wang, K. He, and W. Xu. CoRR, (2024)Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems.W. Zeng, K. He, Z. Wang, D. Fu, G. Dong, R. Geng, P. Wang, J. Wang, C. Sun, W. Wu and 1 other author(s). CoRR, (2022)Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations.J. Liu, L. Wang, G. Dong, X. Song, Z. Wang, Z. Wang, S. Lei, J. Zhao, K. He, B. Xiao and 1 other author(s). CoRR, (2023)Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking.Q. Gao, G. Dong, Y. Mou, L. Wang, C. Zeng, D. Guo, M. Sun, and W. Xu. EMNLP, page 2460-2465. Association for Computational Linguistics, (2022)

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Disambiguation of "Dong, Guanting"

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Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.

Please choose a person to relate this publication to

Michael Döngi

Dong Chen

Dieter Dönges

Xian-Quan Dong

Nguyen thi Phuong Dong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dong, Guanting"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.

Please choose a person to relate this publication to

Michael Döngi

Dong Chen

Dieter Dönges

Xian-Quan Dong

Nguyen thi Phuong Dong

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
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APA
Chicago
DIN 1505
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Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.