| Openagi: When llm meets domain experts Y Ge, W Hua, J Ji, J Tan, S Xu, Y Zhang NeurIPS 2023, 2023 | 69 | 2023 |
| EntQA: Entity linking as question answering W Zhang, W Hua, K Stratos ICLR 2022, 2021 | 41 | 2021 |
| How to Index Item IDs for Recommendation Foundation Models W Hua, S Xu, Y Ge, Y Zhang SIGIR-AP 2023, 2023 | 39 | 2023 |
| UP5: Unbiased Foundation Model for Fairness-aware Recommendation W Hua, Y Ge, S Xu, J Ji, Z Li, Y Zhang EACL 2024, 2023 | 23 | 2023 |
| Openp5: Benchmarking foundation models for recommendation S Xu, W Hua, Y Zhang SIGIR 2024, 2023 | 21 | 2023 |
| War and peace (waragent): Large language model-based multi-agent simulation of world wars W Hua*, L Fan*, L Li, K Mei, J Ji, Y Ge, L Hemphill, Y Zhang arXiv preprint arXiv:2311.17227, 2023 | 19 | 2023 |
| Text based Large Language Model for Recommendation J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang ECIR 2024, 2023 | 16* | 2023 |
| A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression M Sun, W Hua, Z Liu, X Wang, K Zheng, P Li EMNLP 2020, 2020 | 13 | 2020 |
| Tutorial on Large Language Models for Recommendation W Hua, L Li, S Xu, L Chen, Y Zhang RecSys 2023, 1281-1283, 2023 | 9 | 2023 |
| Nphardeval: Dynamic benchmark on reasoning ability of large language models via complexity classes L Fan*, W Hua*, L Li, H Ling, Y Zhang arXiv preprint arXiv:2312.14890, 2023 | 8 | 2023 |
| LLM as OS agents as APPs: Envisioning AISO, agents and the AIOS-agent ecosystem Y Ge, Y Ren, W Hua, S Xu, J Tan, Y Zhang arXiv preprint arXiv:2312.03815, 2023 | 6 | 2023 |
| System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning W Hua, Y Zhang EMNLP 2022, 2022 | 5 | 2022 |
| LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension W Hua, Y Zhang, Z Chen, J Li, M Weber EMNLP NLLP workshop 2023, 2022 | 4 | 2022 |
| Learning Underlying Representations and Input-Strictly-Local Functions W Hua, A Jardine, H Dai WCCFL 2020, 2020 | 4 | 2020 |
| Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks W Hua*, J Guo*, M Dong, H Zhu, P Ng, Z Wang arXiv preprint arXiv:2401.17585, 2024 | 3 | 2024 |
| PromptCrypt: Prompt Encryption for Secure Communication with Large Language Models G Lin, W Hua, Y Zhang arXiv preprint arXiv:2402.05868, 2024 | 2 | 2024 |
| Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents Z Li, W Hua, H Wang, H Zhu, Y Zhang arXiv preprint arXiv:2402.00798, 2024 | 2 | 2024 |
| The impact of reasoning step length on large language models M Jin, Q Yu, H Zhao, W Hua, Y Meng, Y Zhang, M Du arXiv preprint arXiv:2401.04925, 2024 | 2 | 2024 |
| Towards LLM-RecSys Alignment with Textual ID Learning J Tan, S Xu, W Hua, Y Ge, Z Li, Y Zhang SIGIR 2024, 2024 | 1 | 2024 |
| What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents M Jin, B Wang, Z Xue, S Zhu, W Hua, H Tang, K Mei, M Du, Y Zhang arXiv preprint arXiv:2402.13184, 2024 | 1 | 2024 |
Yongfeng ZhangRutgers University, Computer Science在 rutgers.edu 的电子邮件经过验证
