Yuchen Zhuang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 49

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Publications

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR (2024)
Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. AISTATS (2024)
Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. EACL (1) (2024)
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl J. Yang, May D. Wang
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR (2024)
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR (2024)
Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR (2024)
Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. CoRR (2024)
Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang
POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. NAACL-HLT (2024)
Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR (2024)
Haorui Wang, Marta Skreta, Cher-Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
Efficient Evolutionary Search Over Chemical Space with Large Language Models. CoRR (2024)
Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
HYDRA: Model Factorization Framework for Black-Box LLM Personalization. CoRR (2024)
Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
MUBen: Benchmarking the Uncertainty of Molecular Representation Models. Trans. Mach. Learn. Res. 2024 (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR (2024)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce Ho, Carl Yang
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) (2024)
Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. CoRR (2024)
Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CoRR (2023)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. CoRR (2023)
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR (2023)
Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CIKM (2023)
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang
ToolQA: A Dataset for LLM Question Answering with External Tools. CoRR (2023)
Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. CoRR (2023)
Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
DF2: Distribution-Free Decision-Focused Learning. CoRR (2023)
Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR (2023)
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS (2023)
Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR (2023)
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR (2023)
Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) (2023)
Wenqi Shi, Yuchen Zhuang, Yuanda Zhu, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang
Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. BCB (2023)
Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
Autoregressive Diffusion Model for Graph Generation. CoRR (2023)
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang
ToolQA: A Dataset for LLM Question Answering with External Tools. NeurIPS (2023)
Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang
PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. CoRR (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR (2023)
Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS (2023)
Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
Autoregressive Diffusion Model for Graph Generation. ICML (2023)
Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking. CoRR (2023)
Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
End-to-end Stochastic Optimization with Energy-based Model. NeurIPS (2022)
Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. EMNLP (2022)
Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. CoRR (2022)
Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
End-to-End Stochastic Optimization with Energy-Based Model. CoRR (2022)
Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. EMNLP (1) (2020)
Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. CoRR (2020)
Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB (2020)
Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You
DNA computing for combinational logic. Sci. China Inf. Sci. 62 (6) (2019)
Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You
DNA Computing for Combinational Logic. CoRR (2018)
Yuchen Zhuang, Chongzhou Fang, Zaichen Zhang, Xiaohu You, Chuan Zhang
Arithmetic Computations Based on Chemical Reaction Networks. SiPS (2018)
Yuchen Zhuang, Lulu Ge, Wei Wei, Jing Zhao, Xiaohu You, Chuan Zhang
A synthesis flow for fast convolution unit based on molecular reactions. WCSP (2017)
Ziyuan Shen, Chuan Zhang, Lulu Ge, Yuchen Zhuang, Bo Yuan, Xiaohu You
Synthesis of Probability Theory Based on Molecular Computation. SiPS (2016)