Wenyue Hua
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
10
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | Individual Turing Test: A Case Study of LLM-based Simulation Using Longitudinal Personal Data. | Minghao Guo, Ziyi Ye, Wujiang Xu, Xi Zhu, Wenyue Hua, Dimitris N. Metaxas |
| 2025 | ACL | REALM: A Dataset of Real-World LLM Use Cases. | Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang |
| 2025 | ACL | Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents. | Chaoran Chen, Bingsheng Yao, Ruishi Zou, Wenyue Hua, Weimin Lyu, Toby Jia-Jun Li, Dakuo Wang |
| 2025 | ACL | InductionBench: LLMs Fail in the Simplest Complexity Class. | Wenyue Hua, Tyler Wong, Fei Sun, Liangming Pan, Adam Jardine, William Yang Wang |
| 2025 | ACL | Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. | Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Mingyu Jin, Shuhang Lin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang |
| 2025 | ACL | Disentangling Memory and Reasoning Ability in Large Language Models. | Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang |
| 2025 | ACL | ADO: Automatic Data Optimization for Inputs in LLM Prompts. | Sam Lin, Wenyue Hua, Lingyao Li, Zhenting Wang, Yongfeng Zhang |
| 2025 | ACL | RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios. | Ruiwen Zhou, Wenyue Hua, Liangming Pan, Sitao Cheng, Xiaobao Wu, En Yu, William Yang Wang |
| 2025 | CIKM | Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. | Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang |
| 2025 | COLING | Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept 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 |
| 2025 | ICLR | Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. | Wenyue Hua, Mengting Wan, Jagannath Shashank Subramanya Sai Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang |
| 2025 | ICLR | From Commands to Prompts: LLM-based Semantic File System for AIOS. | Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang |
| 2025 | NAACL | EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs. | Sam Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Lizhou Fan, Yongfeng Zhang |
| 2025 | NAACL | Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. | Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou |
| 2024 | ACL | NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes. | Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang |
| 2024 | ACL | Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks. | Wenyue Hua, Jiang Guo, Mingwen Dong, Henghui Zhu, Patrick Ng, Zhiguo Wang |
| 2024 | ACL | 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 |
| 2024 | EACL | UP5: Unbiased Foundation Model for Fairness-aware Recommendation. | Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang |
| 2024 | ECIR | GenRec: Large Language Model for Generative Recommendation. | Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | TrustAgent: Towards Safe and Trustworthy LLM-based Agents. | Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang |
| 2024 | EMNLP | 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, Yongfeng Zhang |
| 2024 | SIGIR | IDGenRec: LLM-RecSys Alignment with Textual ID Learning. | Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang |
| 2024 | SIGIR | OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. | Shuyuan Xu, Wenyue Hua, Yongfeng Zhang |
| 2023 | RecSys | Tutorial on Large Language Models for Recommendation. | Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang |
| 2022 | EMNLP | System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning. | Wenyue Hua, Yongfeng Zhang |
| 2022 | ICLR | EntQA: Entity Linking as Question Answering. | Wenzheng Zhang, Wenyue Hua, Karl Stratos |
| 2020 | EMNLP | 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 |