Zifeng Wang

According to our database, Zifeng Wang authored at least 20 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Panacea: A foundation model for clinical trial search, summarization, design, and recruitment.

Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun

CoRR, 2024

Accelerating Clinical Evidence Synthesis with Large Language Models.

Zifeng Wang, Lang Cao, Benjamin P. Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun

CoRR, 2024

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.

Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.

Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PILOT: Legal Case Outcome Prediction with Case Law.

Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement.

Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs.

Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.

Yilin Wen, Zifeng Wang, Jimeng Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

UniPredict: Large Language Models are Universal Tabular Predictors.

Ruiyu Wang, Zifeng Wang, Jimeng Sun

CoRR, 2023

CITING: Large Language Models Create Curriculum for Instruction Tuning.

Tao Feng, Zifeng Wang, Jimeng Sun

CoRR, 2023

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.

Yilin Wen, Zifeng Wang, Jimeng Sun

CoRR, 2023

Matching Patients to Clinical Trials with Large Language Models.

Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu

CoRR, 2023

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.

Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun

CoRR, 2023

AnyPredict: Foundation Model for Tabular Prediction.

Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun

CoRR, 2023

TWIN: Personalized Clinical Trial Digital Twin Generation.

Trisha Das, Zifeng Wang, Jimeng Sun

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AutoTrial: Prompting Language Models for Clinical Trial Design.

Zifeng Wang, Cao Xiao, Jimeng Sun

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

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.

Zifeng Wang, Cao Xiao, Jimeng Sun

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

TransTab: Learning Transferable Tabular Transformers Across Tables.

Zifeng Wang, Jimeng Sun

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

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.

Zifeng Wang, Jimeng Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.

Zifeng Wang, Jimeng Sun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022