Sledovať
Jieyu Zhang
Názov
Citované v
Citované v
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversations
Q Wu, G Bansal, J Zhang, Y Wu, B Li, E Zhu, L Jiang, X Zhang, S Zhang, ...
COLM 2024, 2024
861*2024
Datacomp: In search of the next generation of multimodal datasets
SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ...
NeurIPS 2023, 2023
3852023
A Survey on Graph Structure Learning: Progress and Opportunities
Y Zhu, W Xu, J Zhang, Y Du, J Zhang, Q Liu, C Yang, S Wu
arXiv preprint arXiv:2103.03036, 2021
312*2021
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Y Yu*, Y Zhuang*, J Zhang*, Y Meng, A Ratner, R Krishna, J Shen, ...
NeurIPS 2023, 2023
2022023
WRENCH: A Comprehensive Benchmark for Weak Supervision
J Zhang, Y Yu, Y Li, Y Wang, Y Yang, M Yang, A Ratner
NeurIPS 2021, 2021
1162021
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
CY Hsieh*, J Zhang*, Z Ma, A Kembhavi, R Krishna
NeurIPS 2023, 2023
1132023
Scibench: Evaluating college-level scientific problem-solving abilities of large language models
X Wang, Z Hu, P Lu, Y Zhu, J Zhang, S Subramaniam, AR Loomba, ...
ICML 2024, 2024
1092024
Datacomp-lm: In search of the next generation of training sets for language models
J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ...
arXiv preprint arXiv:2406.11794, 2024
96*2024
A Survey on Programmatic Weak Supervision
J Zhang, CY Hsieh, Y Yu, C Zhang, A Ratner
arXiv preprint arXiv:2202.05433, 2022
912022
Single-pass contrastive learning can work for both homophilic and heterophilic graph
H Wang, J Zhang, Q Zhu, W Huang, K Kawaguchi, X Xiao
Transactions on Machine Learning Research, 2023
83*2023
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ...
arXiv preprint arXiv:2408.08872, 2024
612024
Relation learning on social networks with multi-modal graph edge variational autoencoders
C Yang, J Zhang, H Wang, S Li, M Kim, M Walker, Y Xiao, J Han
Proceedings of the 13th International Conference on Web Search and Data …, 2020
552020
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models
Y Yu, L Kong, J Zhang, R Zhang, C Zhang
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
50*2022
Task Me Anything
J Zhang, W Huang, Z Ma, O Michel, D He, T Gupta, WC Ma, A Farhadi, ...
arXiv preprint arXiv:2406.11775, 2024
432024
Taxonomy Completion via Triplet Matching Network
J Zhang, X Song, Y Zeng, J Chen, J Shen, Y Mao, L Li
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
422021
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Y Yu, R Zhang, R Xu, J Zhang, J Shen, C Zhang
arXiv preprint arXiv:2209.06995, 2022
392022
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
M Jiang, X Song, J Zhang, J Han
Proceedings of the ACM Web Conference 2022, 925-934, 2022
392022
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
W Shi, R Xu, Y Zhuang, Y Yu, J Zhang, H Wu, Y Zhu, J Ho, C Yang, ...
arXiv preprint arXiv:2401.07128, 2024
382024
EcoAssistant: Using LLM Assistant More Affordably and Accurately
J Zhang, R Krishna, AH Awadallah, C Wang
arXiv preprint arXiv:2310.03046, 2023
372023
Co-embedding network nodes and hierarchical labels with taxonomy based generative adversarial networks
C Yang, J Zhang, J Han
2020 IEEE International Conference on Data Mining (ICDM), 721-730, 2020
342020
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20