Obserwuj
Zelong Li
Tytuł
Cytowane przez
Cytowane przez
Rok
Openagi: When llm meets domain experts
Y Ge, W Hua, J Ji, J Tan, S Xu, Z Li, Y Zhang
arXiv preprint arXiv:2304.04370, 2023
2002023
A survey on trustworthy recommender systems
Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang
ACM Transactions on Recommender Systems, 2022
772022
Explainable fairness in recommendation
Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
692022
Efficient non-sampling knowledge graph embedding
Z Li, J Ji, Z Fu, Y Ge, S Xu, C Chen, Y Zhang
Proceedings of the Web Conference 2021, 1727-1736, 2021
462021
Genrec: Large language model for generative recommendation
J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang
European Conference on Information Retrieval, 494-502, 2024
452024
Hoops: Human-in-the-loop graph reasoning for conversational recommendation
Z Fu, Y Xian, Y Zhu, S Xu, Z Li, G De Melo, Y Zhang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
392021
AIOS: LLM agent operating system
K Mei, Z Li, S Xu, R Ye, Y Ge, Y Zhang
arXiv e-prints, pp. arXiv–2403, 2024
26*2024
Autolossgen: Automatic loss function generation for recommender systems
Z Li, J Ji, Y Ge, Y Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
232022
Idgenrec: Llm-recsys alignment with textual id learning
J Tan, S Xu, W Hua, Y Ge, Z Li, Y Zhang
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
22*2024
From Kepler to Newton: Explainable AI for Science
Z Li, J Ji, Y Zhang
arXiv preprint arXiv:2111.12210, 2021
192021
Counterfactual collaborative reasoning
J Ji, Z Li, S Xu, M Xiong, J Tan, Y Ge, H Wang, Y Zhang
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
162023
Counterfactual evaluation for explainable AI
Y Ge, S Liu, Z Li, S Xu, S Geng, Y Li, J Tan, F Sun, Y Zhang
arXiv preprint arXiv:2109.01962, 2021
152021
Trustagent: Towards safe and trustworthy llm-based agents through agent constitution
W Hua, X Yang, M Jin, Z Li, W Cheng, R Tang, Y Zhang
Trustworthy Multi-modal Foundation Models and AI Agents (TiFA), 2024
122024
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
112024
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
Z Li, J Ji, Y Ge, W Hua, Y Zhang
arXiv preprint arXiv:2402.00284, 2024
72024
Autoflow: Automated workflow generation for large language model agents
Z Li, S Xu, K Mei, W Hua, B Rama, O Raheja, H Wang, H Zhu, Y Zhang
arXiv preprint arXiv:2407.12821, 2024
62024
CoRE: LLM as Interpreter for Natural Language Programming, Pseudo-Code Programming, and Flow Programming of AI Agents
S Xu, Z Li, K Mei, Y Zhang
arXiv preprint arXiv:2405.06907, 2024
6*2024
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
W Hua, K Zhu, L Li, L Fan, S Lin, M Jin, H Xue, Z Li, JD Wang, Y Zhang
arXiv preprint arXiv:2406.02787, 2024
42024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
W Hua, X Yang, M Jin, Z Li, W Cheng, R Tang, Y Zhang
Findings of the Association for Computational Linguistics: EMNLP 2024, 10000 …, 2024
2024
Explainable and coherent complement recommendation based on large language models
Z Li, Y Liang, M Wang, S Yoon, J Shi, X Shen, X He, C Zhang, W Wu, ...
Proceedings of the 33rd ACM International Conference on Information and …, 2024
2024
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