Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference.

[BibT_eX]

[DOI]

Yan Xu

Proceedings of the International Conference on Machine Learning, 2023

Towards Mitigating LLM Hallucination via Self Reflection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Contrastive Learning for Inference in Dialogue.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

NusaCrowd: Open Source Initiative for Indonesian NLP Resources.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

NusaCrowd: Open Source Initiative for Indonesian NLP Resources.

[BibT_eX]

[DOI]

CoRR, 2022

RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.

[BibT_eX]

[DOI]

CoRR, 2022

Convex Analysis at Infinity: An Introduction to Astral Space.

[BibT_eX]

[DOI]

CoRR, 2022

VScript: Controllable Script Generation with Audio-Visual Presentation.

[BibT_eX]

[DOI]

CoRR, 2022

Reproducibility in Optimization: Theoretical Framework and Limits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VScript: Controllable Script Generation with Visual Presentation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Agnostic Learnability of Halfspaces via Logistic Loss.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Actor-critic is implicitly biased towards high entropy optimal policies.

[BibT_eX]

[DOI]

Yuzheng Hu

Ziwei Ji

Matus Telgarsky

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Early-stopped neural networks are consistent.

[BibT_eX]

[DOI]

Ziwei Ji

Justin D. Li

Matus Telgarsky

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast margin maximization via dual acceleration.

[BibT_eX]

[DOI]

Ziwei Ji

Nathan Srebro

Matus Telgarsky

Proceedings of the 38th International Conference on Machine Learning, 2021

Generalization bounds via distillation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Characterizing the implicit bias via a primal-dual analysis.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

Proceedings of the Algorithmic Learning Theory, 2021

CrossNER: Evaluating Cross-Domain Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Model Generalization on COVID-19 Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020

Directional convergence and alignment in deep learning.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural tangent kernels, transportation mappings, and universal approximation.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

Ruicheng Xian

Proceedings of the 8th International Conference on Learning Representations, 2020

Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

Proceedings of the 8th International Conference on Learning Representations, 2020

Multi-hop Question Generation with Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Gradient descent follows the regularization path for general losses.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2020

2019

A refined primal-dual analysis of the implicit bias.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

CoRR, 2019

Gradient descent aligns the layers of deep linear networks.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

Proceedings of the 7th International Conference on Learning Representations, 2019

The implicit bias of gradient descent on nonseparable data.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

Proceedings of the Conference on Learning Theory, 2019

2018

Risk and parameter convergence of logistic regression.

[BibT_eX]

[DOI]

Ziwei Ji

Matus Telgarsky

CoRR, 2018

Social Welfare and Profit Maximization from Revealed Preferences.

[BibT_eX]

[DOI]

Ziwei Ji

Ruta Mehta

Matus Telgarsky

Proceedings of the Web and Internet Economics - 14th International Conference, 2018

2017

Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017.

[BibT_eX]

[DOI]

CoRR, 2017

2016

The Beachcombers' Problem: Walking and Searching from an Inner Point of a Line.

[BibT_eX]

[DOI]

Proceedings of the Language and Automata Theory and Applications, 2016

Ziwei Ji

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