Ziwei Ji - Concepedia

Author

Ziwei Ji

University of Illinois Urbana-Champaign ORCID

Also Known As

Ji, Ziwei, Schapire, Robert E., Ziwei Ji

Publications

4.9K

Citations

H-Index

Concepts

All Affiliations

University of Illinois Urbana-Champaign Hong Kong University of Science and Technology University of Hong Kong

About

Ziwei Ji is an author at University of Illinois Urbana-Champaign specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	21	1.7K
2	Language Studies	7	7	1.3K
3	Social Sciences	3	3	48
4	Medicine	1	1	32
5	Applied Physics	1	1	21

Ziwei Ji

Publications

Citations

H-Index

Page 1

	Year	Citations
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, EngineeringSemanticsLanguage ProcessingText MiningNatural Language Processing	2023	581
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, arXiv (Cornell University) EngineeringSemanticsLarge Language ModelCorpus LinguisticsText Mining	2023	351
Towards Mitigating LLM Hallucination via Self Reflection Ziwei Ji, Tiezheng Yu, Yan Xu, Artificial IntelligenceLlm Fine-tuningEngineeringInteractive Self-reflection MethodologyLarge Language Model	2023	175
CrossNER: Evaluating Cross-Domain Named Entity Recognition Zihan Liu, Yan Xu, Tiezheng Yu, Proceedings of the AAAI Conference on Artificial Intelligence Llm Fine-tuningEngineeringMachine LearningCross-lingual RepresentationMultilingual Pretraining	2021	114
Gradient descent aligns the layers of deep linear networks Ziwei Ji, Matus Telgarsky International Conference on Learning Representations Geometric LearningRisk ConvergenceGradient DescentEngineeringMachine Learning	2019	98
Survey of Hallucination in Natural Language Generation Ziwei Ji, Nayeon Lee, Rita Frieske, arXiv (Cornell University)	2022	92
Risk and parameter convergence of logistic regression Ziwei Ji, Matus Telgarsky arXiv (Cornell University) Gradient DescentRisk Model ValidationRisk ManagementUnique RayRisk	2018	79
The implicit bias of gradient descent on nonseparable data Ziwei Ji, Matus Telgarsky Conference on Learning Theory EngineeringMachine LearningComputational Learning TheorySupervised LearningStatistical Inference	2019	68
Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks Ziwei Ji, Matus Telgarsky arXiv (Cornell University) Gradient DescentEngineeringMachine LearningWidth Exceeding PolylogSmall Test Error	2020	59
Multi-hop Question Generation with Graph Convolutional Network Dan Su, Yan Xu, Wenliang Dai,	2020	40

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