Wenyue Hua

According to our database, Wenyue Hua authored at least 44 papers between 2020 and 2024.

Collaborative distances:

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

2024

Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis.

Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma

J. Heal. Informatics Res., December, 2024

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface.

Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang

CoRR, 2024

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow.

Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Themistocles L. Assimes, Xin Ma, Danielle S. Bitterman, Lin Lu, Lizhou Fan

CoRR, 2024

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.

Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang

CoRR, 2024

AutoFlow: Automated Workflow Generation for Large Language Model Agents.

Zelong Li, Shuyuan Xu, Kai Mei, Wenyue Hua, Balaji Rama, Om Raheja, Hao Wang, He Zhu, Yongfeng Zhang

CoRR, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang

CoRR, 2024

MoralBench: Moral Evaluation of LLMs.

Jianchao Ji, Yutong Chen, Mingyu Jin, Wujiang Xu, Wenyue Hua, Yongfeng Zhang

CoRR, 2024

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities.

Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang

CoRR, 2024

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs).

Lingyao Li, Jiayan Zhou, Zhenxiang Gao, Wenyue Hua, Lizhou Fan, Huizi Yu, Loni Hagen, Yongfeng Zhang, Themistocles L. Assimes, Libby Hemphill, Siyuan Ma

CoRR, 2024

BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis.

Shuhang Lin, Wenyue Hua, Lingyao Li, Che-Jui Chang, Lizhou Fan, Jianchao Ji, Hang Hua, Mingyu Jin, Jiebo Luo, Yongdong Zhang

CoRR, 2024

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Towards LLM-RecSys Alignment with Textual ID Learning.

Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang

CoRR, 2024

Large Language Models in Biomedical and Health Informatics: A Bibliometric Review.

Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma

CoRR, 2024

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models.

Lizhou Fan, Wenyue Hua, Xiang Li, Kaijie Zhu, Mingyu Jin, Lingyao Li, Haoyang Ling, Jinkui Chi, Jindong Wang, Xin Ma, Yongfeng Zhang

CoRR, 2024

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.

Mingyu Jin, Beichen Wang, Zhaoqian Xue, Suiyuan Zhu, Wenyue Hua, Hua Tang, Kai Mei, Mengnan Du, Yongfeng Zhang

CoRR, 2024

EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models.

Guo Lin, Wenyue Hua, Yongfeng Zhang

CoRR, 2024

TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution.

Wenyue Hua, Xianjun Yang, Zelong Li, Wei Cheng, Yongfeng Zhang

CoRR, 2024

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents.

Zelong Li, Wenyue Hua, Hao Wang, He Zhu, Yongfeng Zhang

CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng

CoRR, 2024

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model.

Zelong Li, Jianchao Ji, Yingqiang Ge, Wenyue Hua, Yongfeng Zhang

CoRR, 2024

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems.

Shuyuan Xu, Wenyue Hua, Yongfeng Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

IDGenRec: LLM-RecSys Alignment with Textual ID Learning.

Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TrustAgent: Towards Safe and Trustworthy LLM-based Agents.

Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

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

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate.

Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, William Yang Wang

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

GenRec: Large Language Model for Generative Recommendation.

Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

Proceedings of the Advances in Information Retrieval, 2024

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.

Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang

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

The Impact of Reasoning Step Length on Large Language Models.

Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

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

Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks.

Wenyue Hua, Jiang Guo, Mingwen Dong, Henghui Zhu, Patrick Ng, Zhiguo Wang

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

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes.

Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing.

Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu

Trans. Assoc. Comput. Linguistics, 2023

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem.

Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang

CoRR, 2023

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang

CoRR, 2023

OpenP5: Benchmarking Foundation Models for Recommendation.

Shuyuan Xu, Wenyue Hua, Yongfeng Zhang

CoRR, 2023

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.

Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang

CoRR, 2023

OpenAGI: When LLM Meets Domain Experts.

Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang

CoRR, 2023

How to Index Item IDs for Recommendation Foundation Models.

Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Tutorial on Large Language Models for Recommendation.

Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

OpenAGI: When LLM Meets Domain Experts.

Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang

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

2022

LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension.

Wenyue Hua, Yuchen Zhang, Zhe Chen, Josie Li, Melanie Weber

CoRR, 2022

Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing.

Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu

CoRR, 2022

EntQA: Entity Linking as Question Answering.

Wenzheng Zhang, Wenyue Hua, Karl Stratos

Proceedings of the Tenth International Conference on Learning Representations, 2022

System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning.

Wenyue Hua, Yongfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Learning Input Strictly Local Functions From Their Composition.

Wenyue Hua, Adam Jardine

Proceedings of the 15th International Conference on Grammatical Inference, 2021

2020

A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression.

Mingming Sun, Wenyue Hua, Zoey Liu, Xin Wang, Kangjie Zheng, Ping Li

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