Yuchen Zhuang - RankMe

80 papers A* 15A 3Journal 48Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MEDVISTAGYM: A Scalable Training Environment for Thinking with Medical Images via Tool-Integrated Reinforcement Learning. CoRR Meng Lu, Yuxing Lu, Yuchen Zhuang, Megan Mullins, Yang Xie, Guanghua Xiao, Charles Fleming, Wenqi Shi, Xuan Wang
2026	—	`conf`	WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. EACL (Findings) Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang
2025	J	`jnl`	AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play. CoRR Ran Xu, Yuchen Zhuang, Zihan Dong, Jonathan Wang, Yue Yu, Joyce C. Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang
2025	J	`jnl`	AmorLIP: Efficient Language-Image Pretraining via Amortization. CoRR Haotian Sun, Yitong Li, Yuchen Zhuang, Niao He, Hanjun Dai, Bo Dai
2025	J	`jnl`	CellForge: Agentic Design of Virtual Cell Models. CoRR Xiangru Tang, Zhuoyun Yu, Jiapeng Chen, Yan Cui, Daniel Shao, Weixu Wang, Fang Wu, Yuchen Zhuang, Wenqi Shi, Zhi Huang, Arman Cohan, Xihong Lin, Fabian J. Theis, Smita Krishnaswamy, Mark Gerstein
2025	J	`jnl`	Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration. CoRR Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu, Joyce C. Ho, Haoyu Wang, Carl Yang
2025	A	`conf`	DF UAI Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
2025	—	`conf`	DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. EMNLP (Findings) Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang
2025	A*	`conf`	Efficient Evolutionary Search Over Chemical Space with Large Language Models. ICLR Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
2025	J	`jnl`	Frame Extraction Person Retrieval Framework Based on Improved YOLOv8s and the Stage-Wise Clustering Person Re-Identification. IET Image Process. Jianjun Zhuang, Nan Wang, Yuchen Zhuang, Yong Hao
2025	—	`conf`	Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. NAACL (Long Papers) Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2025	J	`jnl`	Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. CoRR Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2025	J	`jnl`	MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering. CoRR Rushi Qiang, Yuchen Zhuang, Yinghao Li, Dingu Sagar V. K, Rongzhi Zhang, Changhao Li, Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai
2025	J	`jnl`	MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline. CoRR Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai
2025	J	`jnl`	MSQA: Benchmarking LLMs on Graduate-Level Materials Science Reasoning and Knowledge. CoRR Jerry Junyang Cheung, Shiyao Shen, Yuchen Zhuang, Yinghao Li, Rampi Ramprasad, Chao Zhang
2025	J	`jnl`	MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. CoRR Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Xiangru Tang, Hang Wu, May D. Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Carl Yang, Yang Xie, Wenqi Shi
2025	J	`jnl`	Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards. CoRR Aaron Tu, Weihao Xuan, Heli Qi, Xu Huang, Qingcheng Zeng, Shayan Talaei, Yijia Xiao, Peng Xia, Xiangru Tang, Yuchen Zhuang, Bing Hu, Hanqun Cao, Wenqi Shi, Tianang Leng, Rui Yang, Yingjian Chen, Ziqi Wang, Irene Li, Nan Liu, Huaxiu Yao, Li Erran Li, Ge Liu, Amin Saberi, Naoto Yokoya, Jure Leskovec, Yejin Choi, Fang Wu
2025	J	`jnl`	RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. CoRR Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang
2025	J	`jnl`	Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs. CoRR Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang
2025	J	`jnl`	Towards Better Instruction Following Retrieval Models. CoRR Yuchen Zhuang, Aaron Trinh, Rushi Qiang, Haotian Sun, Chao Zhang, Hanjun Dai, Bo Dai
2025	J	`jnl`	Towards a Science of Scaling Agent Systems. CoRR Yubin Kim, Ken Gu, Chanwoo Park, Chunjong Park, Samuel Schmidgall, A. Ali Heydari, Yao Yan, Zhihan Zhang, Yuchen Zhuang, Mark Malhotra, Paul Pu Liang, Hae Won Park, Yuzhe Yang, Xuhai Xu, Yilun Du, Shwetak N. Patel, Tim Althoff, Daniel McDuff, Xin Liu
2025	J	`jnl`	Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. CoRR Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang
2025	J	`jnl`	WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. CoRR Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang
2024	A*	`conf`	Aligning Large Language Models with Representation Editing: A Control Perspective. NeurIPS Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
2024	J	`jnl`	Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
2024	A*	`conf`	BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. ICML Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai
2024	J	`jnl`	BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. CoRR Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai
2024	A*	`conf`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang
2024	A*	`conf`	EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang
2024	J	`jnl`	Efficient Evolutionary Search Over Chemical Space with Large Language Models. CoRR 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
2024	A*	`conf`	HYDRA: Model Factorization Framework for Black-Box LLM Personalization. NeurIPS Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
2024	J	`jnl`	HYDRA: Model Factorization Framework for Black-Box LLM Personalization. CoRR Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
2024	—	`conf`	HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. EACL (1) Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
2024	J	`jnl`	HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. CoRR Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
2024	—	`conf`	Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang
2024	J	`jnl`	MUBen: Benchmarking the Uncertainty of Molecular Representation Models. Trans. Mach. Learn. Res. Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
2024	J	`jnl`	Matryoshka: Learning to Drive Black-Box LLMs with LLMs. CoRR Changhao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai
2024	A*	`conf`	MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. EMNLP Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang
2024	J	`jnl`	MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
2024	—	`conf`	POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. NAACL-HLT Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang
2024	—	`conf`	RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. ACL (Short Papers) Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang
2024	J	`jnl`	RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
2024	J	`jnl`	TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
2024	A*	`conf`	ToolChain: Efficient Action Space Navigation in Large Language Models with A Search. ICLR Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
2024	A	`conf`	Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. AISTATS Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang
2023	A*	`conf`	AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
2023	J	`jnl`	AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
2023	A*	`conf`	Autoregressive Diffusion Model for Graph Generation. ICML Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
2023	J	`jnl`	Autoregressive Diffusion Model for Graph Generation. CoRR Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
2023	J	`jnl`	DF2: Distribution-Free Decision-Focused Learning. CoRR Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
2023	A*	`conf`	DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
2023	J	`jnl`	DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
2023	A	`conf`	G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CIKM Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
2023	J	`jnl`	G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CoRR Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
2023	J	`jnl`	How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking. CoRR Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong
2023	J	`jnl`	Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. CoRR Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
2023	A*	`conf`	Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023	J	`jnl`	Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023	J	`jnl`	MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. CoRR Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
2023	J	`jnl`	PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. CoRR Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang
2023	—	`conf`	ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023	J	`jnl`	ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023	—	`conf`	Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. BCB Wenqi Shi, Yuchen Zhuang, Yuanda Zhu, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang
2023	J	`jnl`	ToolChain: Efficient Action Space Navigation in Large Language Models with A Search. CoRR Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
2023	A*	`conf`	ToolQA: A Dataset for LLM Question Answering with External Tools. NeurIPS Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang
2023	J	`jnl`	ToolQA: A Dataset for LLM Question Answering with External Tools. CoRR Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang
2022	J	`jnl`	End-to-End Stochastic Optimization with Energy-Based Model. CoRR Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
2022	A*	`conf`	End-to-end Stochastic Optimization with Energy-based Model. NeurIPS Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
2022	A*	`conf`	ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. EMNLP Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
2022	J	`jnl`	ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. CoRR Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
2020	—	`conf`	Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. EMNLP (1) Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
2020	J	`jnl`	Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. CoRR Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
2020	—	`conf`	EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
2019	J	`jnl`	DNA computing for combinational logic. Sci. China Inf. Sci. Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You
2018	—	`conf`	Arithmetic Computations Based on Chemical Reaction Networks. SiPS Yuchen Zhuang, Chongzhou Fang, Zaichen Zhang, Xiaohu You, Chuan Zhang
2018	J	`jnl`	DNA Computing for Combinational Logic. CoRR Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You
2017	—	`conf`	A synthesis flow for fast convolution unit based on molecular reactions. WCSP Yuchen Zhuang, Lulu Ge, Wei Wei, Jing Zhao, Xiaohu You, Chuan Zhang
2016	—	`conf`	Synthesis of Probability Theory Based on Molecular Computation. SiPS Ziyuan Shen, Chuan Zhang, Lulu Ge, Yuchen Zhuang, Bo Yuan, Xiaohu You