Yuji Zhang

Orcid: 0000-0002-7285-6030

Affiliations:
  • University of Illinois at Urbana-Champaign, IL, USA
  • Dartmouth College & Southeast University, Hanover, NH, USA (former)


According to our database1, Yuji Zhang authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Integrative Decoding: Improve Factuality via Implicit Self-consistency.
CoRR, 2024

A Survey on the Honesty of Large Language Models.
CoRR, 2024

Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models.
CoRR, 2024

EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries.
CoRR, 2024

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
VIBE: Topic-Driven Temporal Adaptation for Twitter Classification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification.
CoRR, 2022

2021
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Engage the Public: Poll Question Generation for Social Media Posts.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Capacitivo: Contact-Based Object Recognition on Interactive Fabrics using Capacitive Sensing.
Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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