Xingjian Zhang

Orcid: 0009-0001-0716-3449

Affiliations:
  • University of Michigan, Ann Arbor, MI, USA


According to our database1, Xingjian Zhang authored at least 12 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
Trans. Mach. Learn. Res., 2024

Map2Text: New Content Generation from Low-Dimensional Visualizations.
CoRR, 2024

DCA-Bench: A Benchmark for Dataset Curation Agents.
CoRR, 2024

MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows.
CoRR, 2024

The Second Workshop on Large Language Models for Individuals, Groups, and Society.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Can LLMs Effectively Leverage Graph Structural Information: When and Why.
CoRR, 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
CoRR, 2022

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks.
Proceedings of the Learning on Graphs Conference, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models.
CoRR, 2021


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