עקוב אחר
Zhen Tan
Zhen Tan
Ph.D. at Arizona State University
כתובת אימייל מאומתת בדומיין asu.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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, ...‏
arXiv preprint arXiv:2402.13446, 2024‏
147*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
712022
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
452023
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
292022
Contextualization distillation from large language model for knowledge graph completion‏
D Li, Z Tan, T Chen, H Liu‏
arXiv preprint arXiv:2402.01729, 2024‏
282024
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
262024
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
252024
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
252024
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
202024
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance‏
S Wang, T Zhen, R Guo, J Li‏
EMNLP 2023, 2023‏
202023
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
19*2022
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
17*
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
162023
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
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
8*2024
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
82024
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
62024
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
Thought graph: Generating thought process for biological reasoning‏
CY Hsu, K Cox, J Xu, Z Tan, T Zhai, M Hu, D Pratt, T Chen, Z Hu, Y Ding‏
Companion Proceedings of the ACM Web Conference 2024, 537-540, 2024‏
52024
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מאמרים 1–20