Yuchen Zhuang

According to our database, Yuchen Zhuang authored at least 31 papers between 2016 and 2024.

Collaborative distances:

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

2024

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.

Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang

CoRR, 2024

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models.

Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai

CoRR, 2024

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.

Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang

CoRR, 2024

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang

CoRR, 2024

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification.

Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking.

Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong

CoRR, 2023

PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature.

Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang

CoRR, 2023

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang

CoRR, 2023

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.

Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang

CoRR, 2023

DF2: Distribution-Free Decision-Focused Learning.

Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang

CoRR, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

CoRR, 2023

ToolQA: A Dataset for LLM Question Answering with External Tools.

Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang

CoRR, 2023

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction.

Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

CoRR, 2023

AdaPlanner: Adaptive Planning from Feedback with Language Models.

Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

CoRR, 2023

ToolQA: A Dataset for LLM Question Answering with External Tools.

Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaPlanner: Adaptive Planning from Feedback with Language Models.

Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.

Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang

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

Autoregressive Diffusion Model for Graph Generation.

Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang

Proceedings of the International Conference on Machine Learning, 2023

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.

Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making.

Wenqi Shi, Yuchen Zhuang, Yuanda Zhu, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang

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

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.

Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang

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

2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang

CoRR, 2022

End-to-end Stochastic Optimization with Energy-based Model.

Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang

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

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang

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

2020

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data.

Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis.

Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

DNA computing for combinational logic.

Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You

Sci. China Inf. Sci., 2019

2018

Arithmetic Computations Based on Chemical Reaction Networks.

Yuchen Zhuang, Chongzhou Fang, Zaichen Zhang, Xiaohu You, Chuan Zhang

Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018

2017

A synthesis flow for fast convolution unit based on molecular reactions.

Yuchen Zhuang, Lulu Ge, Wei Wei, Jing Zhao, Xiaohu You, Chuan Zhang

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

2016

Synthesis of Probability Theory Based on Molecular Computation.

Ziyuan Shen, Chuan Zhang, Lulu Ge, Yuchen Zhuang, Bo Yuan, Xiaohu You

Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016