Zhecheng Sheng

According to our database, Zhecheng Sheng authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift.

Yongsen Tan, Zhecheng Sheng, Xiruo Ding, Serguei V. S. Pakhomov, Trevor Cohen

CoRR, May, 2026

When Prompts Interact: Assessing Prompt Arithmetic for Deconfounding under Distribution Shift.

Zhecheng Sheng, Yongsen Tan, Xiruo Ding, Trevor Cohen, Serguei Pakhomov

CoRR, May, 2026

2025

Toward Unifying Group Fairness Evaluation from a Sparsity Perspective.

Zhecheng Sheng, Jiawei Zhang, Enmao Diao

CoRR, November, 2025

"Is There Anything Else?": Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test.

Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov

CoRR, March, 2025

Tailoring task arithmetic to address bias in models trained on multi-institutional datasets.

Xiruo Ding, Zhecheng Sheng, Brian Hur, Justin Tauscher, Dror Ben-Zeev, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen

J. Biomed. Informatics, 2025

BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation.

Tianhao Zhang, Zhecheng Sheng, Zhexiao Lin, Chen Jiang, Dongyeop Kang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking.

Zhecheng Sheng, Xiruo Ding, Brian Hur, Changye Li, Trevor Cohen, Serguei V. S. Pakhomov

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

On the Sequence Evaluation based on Stochastic Processes.

Tianhao Zhang, Zhexiao Lin, Zhecheng Sheng, Chen Jiang, Dongyeop Kang

CoRR, 2024

Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies.

Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov

Proceedings of the Findings of the Association for Computational Linguistics, 2024

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence.

Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts.

Xiruo Ding, Zhecheng Sheng, Brian Hur, Feng Chen, Serguei V. S. Pakhomov, Trevor Cohen

CoRR, 2023

Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes.

Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen

CoRR, 2023

A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge.

Zhecheng Sheng, Raymond L. Finzel, Michael Lucke, Sheena Dufresne, Maria L. Gini, Serguei Pakhomov

CoRR, 2023

2022

Canine Parvovirus Diagnosis Classification Utilizing Veterinary Free-Text Notes.

Zhecheng Sheng, Emma Bollig, Jennifer Granick, Rui Zhang, Amanda Beaudoin

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

NLP System for Mining Social Determinant of Health From Clinical Notes and its Fairness Evaluations.

Zhecheng Sheng

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022