Следене
Wenyue Hua
Wenyue Hua
Postdoc on Computer Science, UCSB
Потвърден имейл адрес: rutgers.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
OpenAGI: When llm meets domain experts
Y Ge, W Hua, J Ji, J Tan, S Xu, Y Zhang
NeurIPS benchmark track 2023, 2023
2572023
How to Index Item IDs for Recommendation Foundation Models
W Hua, S Xu, Y Ge, Y Zhang
SIGIR-AP 2023, 2023
1022023
The impact of reasoning step length on large language models
M Jin, Q Yu, D Shu, H Zhao, W Hua, Y Meng, Y Zhang, M Du
arXiv preprint arXiv:2401.04925, 2024
742024
EntQA: Entity linking as question answering
W Zhang, W Hua, K Stratos
ICLR spotlight 2022, 2021
652021
Genrec: Large language model for generative recommendation
J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang
ECIR 2024, 2023
572023
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
S Xu, W Hua, Y Zhang
SIGIR 2024, 386-394, 2024
50*2024
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
W Hua, Y Ge, S Xu, J Ji, Y Zhang
EACL 2023, 2023
502023
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
M Jin, Q Yu, J Huang, Q Zeng, Z Wang, W Hua, H Zhao, K Mei, Y Meng, ...
COLING 2025, 558-573, 2024
41*2024
Tutorial on Large Language Models for Recommendation
W Hua, L Li, S Xu, L Chen, Y Zhang
RecSys 2023, 1281-1283, 2023
412023
AIOS: LLM Agent Operating System
K Mei, X Zhu, W Xu, W Hua, M Jin, S Xu, R Ye, Y Ge, Y Zhang
https://arxiv.org/abs/2403.16971, 35, 2024
382024
Health-LLM: Personalized retrieval-augmented disease prediction model
M Jin, Q Yu, C Zhang, D Shu, S Zhu, M Du, Y Zhang, Y Meng
arXiv preprint arXiv:2402.00746 10, 2024
302024
IDGenRec: LLM-RecSys Alignment with Textual ID Learning
J Tan, S Xu, W Hua, Y Ge, Z Li, Y Zhang
SIGIR 2024, 355-364, 2024
28*2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
W Hua, X Yang, M Jin, Z Li, W Cheng, R Tang, Y Zhang
EMNLP findings, 2024, 2024
27*2024
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)
L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu, L Hagen, Y Zhang, TL Assimes, ...
272024
NPHardEval: Dynamic benchmark on reasoning ability of large language models via complexity classes
L Fan*, W Hua*, L Li, H Ling, Y Zhang
ACL 2024, 2023
272023
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
25*2023
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
G Lin*, W Hua*, Z Wang, M Jin, L Fan, Y Zhang
NAACL 2025, 2024
20*2024
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks
W Hua*, J Guo*, M Dong, H Zhu, P Ng, Z Wang
ACL findings 2024, 2024
142024
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning
W Hua, Y Zhang
EMNLP findings 2022, 2022
142022
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
142020
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