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Wenyue Hua
Wenyue Hua
Postdoc on Computer Science, UCSB
Zweryfikowany adres z rutgers.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
OpenAGI: When llm meets domain experts
Y Ge, W Hua, J Ji, J Tan, S Xu, Y Zhang
NeurIPS benchmark track 2023, 2023
1622023
How to Index Item IDs for Recommendation Foundation Models
W Hua, S Xu, Y Ge, Y Zhang
SIGIR-AP 2023, 2023
712023
EntQA: Entity linking as question answering
W Zhang, W Hua, K Stratos
ICLR spotlight 2022, 2021
532021
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
472023
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
W Hua, Y Ge, S Xu, J Ji, Y Zhang
EACL 2023, 2023
372023
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
362024
Genrec: Large language model for generative recommendation
J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang
ECIR 2024, 2023
312023
The impact of reasoning step length on large language models
M Jin, Q Yu, H Zhao, W Hua, Y Meng, Y Zhang, M Du
ACL findings 2024, 2024
30*2024
Tutorial on Large Language Models for Recommendation
W Hua, L Li, S Xu, L Chen, Y Zhang
RecSys 2023, 1281-1283, 2023
242023
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
202023
Health-LLM: Personalized Retrieval-Augmented Disease Prediction Model
M Jin, Q Yu, D Shu, C Zhang, L Fan, W Hua, S Zhu, M Du, Y Zhang, ...
arXiv preprint arXiv:2402.00746, 2024
182024
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
18*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
132020
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models
L Fan*, W Hua*, X Li*, K Zhu, M Jin, L Li, H Ling, J Chi, J Wang, X Ma, ...
arXiv preprint arXiv:2403.01777, 2024
112024
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
10*2024
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
M Jin, Q Yu, J Huang, Q Zeng, Z Wang, W Hua, H Zhao, K Mei, Y Meng, ...
arXiv preprint arXiv:2404.07066, 2024
10*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
82024
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
72024
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning
W Hua, Y Zhang
EMNLP findings 2022, 2022
72022
Promptcrypt: Prompt encryption for secure communication with large language models
G Lin, W Hua, Y Zhang
arXiv preprint arXiv:2402.05868, 2024
62024
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Prace 1–20