Takip et
Zhen Tan
Zhen Tan
Ph.D. at Arizona State University
asu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Large language models for data annotation and synthesis: A survey
Z Tan, D Li, S Wang, A Beigi, B Jiang, A Bhattacharjee, M Karami, J Li, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
130*2024
Graph few-shot class-incremental learning
Z Tan, K Ding, R Guo, H Liu
Proceedings of the fifteenth ACM international conference on web search and …, 2022
692022
Disinformation detection: An evolving challenge in the age of llms
B Jiang, Z Tan, A Nirmal, H Liu
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
552024
Virtual Node Tuning for Few-shot Node Classification
Z Tan, G Ruocheng, K Ding, L Huan
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
372023
Transductive linear probing: A novel framework for few-shot node classification
Z Tan, S Wang, K Ding, J Li, H Liu
Learning on Graphs Conference, 4: 1-4: 21, 2022
272022
Contextualization distillation from large language model for knowledge graph completion
D Li, Z Tan, T Chen, H Liu
arXiv preprint arXiv:2402.01729, 2024
262024
Sparsity-guided holistic explanation for llms with interpretable inference-time intervention
Z Tan, T Chen, Z Zhang, H Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21619 …, 2024
232024
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
D Li, S Yang, Z Tan, JY Baik, S Yun, J Lee, A Chacko, B Hou, ...
arXiv preprint arXiv:2405.04819, 2024
182024
Interpreting pretrained language models via concept bottlenecks
Z Tan, L Cheng, S Wang, B Yuan, J Li, H Liu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 56-74, 2024
182024
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
S Wang, T Zhen, R Guo, J Li
EMNLP 2023, 2023
182023
Supervised graph contrastive learning for few-shot node classification
Z Tan, K Ding, R Guo, H Liu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
17*2022
Contrastive meta-learning for few-shot node classification
S Wang, Z Tan, H Liu, J Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
132023
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative
Z Tan, C Zhao, R Moraffah, Y Li, Y Kong, T Chen, H Liu
Responsible Generative AI Workshop @ CVPRW 2024, 0
13*
Facial affective behavior analysis with instruction tuning
Y Li, A Dao, W Bao, Z Tan, T Chen, H Liu, Y Kong
European Conference on Computer Vision, 165-186, 2024
122024
From generation to judgment: Opportunities and challenges of llm-as-a-judge
D Li, B Jiang, L Huang, A Beigi, C Zhao, Z Tan, A Bhattacharjee, Y Jiang, ...
arXiv preprint arXiv:2411.16594, 2024
112024
Ceb: Compositional evaluation benchmark for fairness in large language models
S Wang, P Wang, T Zhou, Y Dong, Z Tan, J Li
arXiv preprint arXiv:2407.02408, 2024
72024
Tuning-Free Accountable Intervention for LLM Deployment--A Metacognitive Approach
Z Tan, J Peng, T Chen, H Liu
arXiv preprint arXiv:2403.05636, 2024
62024
Exploring large language models for feature selection: A data-centric perspective
D Li, Z Tan, H Liu
ACM SIGKDD Explorations Newsletter 26 (2), 44-53, 2025
52025
Catching chameleons: Detecting evolving disinformation generated using large language models
B Jiang, C Zhao, Z Tan, H Liu
2024 IEEE 6th International Conference on Cognitive Machine Intelligence …, 2024
52024
Model attribution in llm-generated disinformation: A domain generalization approach with supervised contrastive learning
A Beigi, Z Tan, N Mudiam, C Chen, K Shu, H Liu
2024 IEEE 11th International Conference on Data Science and Advanced …, 2024
5*2024
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20