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2020 – today
- 2024
[j2]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)- [c25]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang:
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. ACL (Short Papers) 2024: 754-765 - [c24]Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) 2024: 15496-15523 - [c23]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: 4582-4590 - [c22]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: 1354-1368 - [c21]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP 2024: 22234-22254 - [c20]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang:
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. EMNLP 2024: 22294-22314 - [c19]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang:
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP 2024: 22315-22339 - [c18]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR 2024 - [c17]Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai:
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. ICML 2024 - [c16]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: 2370-2385 - [i27]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang:
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR abs/2401.07128 (2024) - [i26]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 abs/2401.13849 (2024) - [i25]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 abs/2402.01696 (2024) - [i24]Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai:
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. CoRR abs/2402.08219 (2024) - [i23]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 abs/2403.00815 (2024) - [i22]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 abs/2404.18443 (2024) - [i21]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 abs/2405.03000 (2024) - [i20]Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai:
HYDRA: Model Factorization Framework for Black-Box LLM Personalization. CoRR abs/2406.02888 (2024) - [i19]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 abs/2406.05954 (2024) - [i18]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 abs/2406.16976 (2024) - 2023
- [c15]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: 11782-11805 - [c14]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: 14:1-14:10 - [c13]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: 3677-3687 - [c12]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. ICML 2023: 17391-17408 - [c11]Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD 2023: 3674-3686 - [c10]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS 2023 - [c9]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 - [c8]Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang:
ToolQA: A Dataset for LLM Question Answering with External Tools. NeurIPS 2023 - [i17]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 abs/2305.10703 (2023) - [i16]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR abs/2305.16653 (2023) - [i15]Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR abs/2305.19395 (2023) - [i14]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 abs/2306.10060 (2023) - [i13]Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang:
ToolQA: A Dataset for LLM Question Answering with External Tools. CoRR abs/2306.13304 (2023) - [i12]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 abs/2306.14314 (2023) - [i11]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 abs/2306.15895 (2023) - [i10]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. CoRR abs/2307.08849 (2023) - [i9]Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang:
DF2: Distribution-Free Decision-Focused Learning. CoRR abs/2308.05889 (2023) - [i8]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR abs/2310.13227 (2023) - [i7]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 abs/2311.00287 (2023) - [i6]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 abs/2311.07715 (2023) - [i5]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 abs/2312.01619 (2023) - 2022
- [c7]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: 730-744 - [c6]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-end Stochastic Optimization with Energy-based Model. NeurIPS 2022 - [i4]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 abs/2210.14427 (2022) - [i3]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-End Stochastic Optimization with Energy-Based Model. CoRR abs/2211.13837 (2022) - 2020
- [c5]Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang:
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB 2020: 36:1-36:6 - [c4]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: 1326-1340 - [i2]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 abs/2010.11506 (2020)
2010 – 2019
- 2019
- [j1]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): 61301:1-61301:16 (2019) - 2018
- [c3]Yuchen Zhuang, Chongzhou Fang, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Arithmetic Computations Based on Chemical Reaction Networks. SiPS 2018: 324-329 - [i1]Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You:
DNA Computing for Combinational Logic. CoRR abs/1807.02010 (2018) - 2017
- [c2]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: 1-6 - 2016
- [c1]Ziyuan Shen, Chuan Zhang, Lulu Ge, Yuchen Zhuang, Bo Yuan, Xiaohu You:
Synthesis of Probability Theory Based on Molecular Computation. SiPS 2016: 27-32
Coauthor Index
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last updated on 2024-11-15 19:29 CET by the dblp team
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