Követés
Hao Chen
Hao Chen
Carnegie Mellon University
E-mail megerősítve itt: andrew.cmu.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
A survey on evaluation of large language models
Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ...
ACM Transactions on Intelligent Systems and Technology 15 (3), 1-45, 2024
21112024
Freematch: Self-adaptive thresholding for semi-supervised learning
Y Wang, H Chen, Q Heng, W Hou, Y Fan, Z Wu, J Wang, M Savvides, ...
Internation Conference on Learning Representation (ICLR), 2023
3472023
On the robustness of chatgpt: An adversarial and out-of-distribution perspective
J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ...
ICLR 2023 workshop on reliable large model, 2023
2392023
Promptbench: Towards evaluating the robustness of large language models on adversarial prompts
K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ...
arXiv e-prints, arXiv: 2306.04528, 2023
2382023
Softmatch: Addressing the quantity-quality trade-off in semi-supervised learning
H Chen, R Tao, Y Fan, Y Wang, J Wang, B Schiele, X Xie, B Raj, ...
Internation Conference on Learning Representation (ICLR), 2023
2032023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ...
Internation Conference on Learning Representation (ICLR), 2024
1792024
Usb: A unified semi-supervised learning benchmark for classification
Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ...
Advances in Neural Information Processing Systems 35, 3938-3961, 2022
1342022
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning
X Xu, H Chen, F Moreno-Noguer, LA Jeni, F De la Torre
European Conference on Computer Vision, 284-300, 2020
612020
Conv-adapter: Exploring parameter efficient transfer learning for convnets
H Chen, R Tao, H Zhang, Y Wang, X Li, W Ye, J Wang, G Hu, M Savvides
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
602024
Competeai: Understanding the competition behaviors in large language model-based agents
Q Zhao, J Wang, Y Zhang, Y Jin, K Zhu, H Chen, X Xie
ICML 2024, 2023
472023
3D human pose, shape and texture from low-resolution images and videos
X Xu, H Chen, F Moreno-Noguer, LA Jeni, F De la Torre
IEEE transactions on pattern analysis and machine intelligence 44 (9), 4490-4504, 2021
442021
Exploring vision-language models for imbalanced learning
Y Wang, Z Yu, J Wang, Q Heng, H Chen, W Ye, R Xie, X Xie, S Zhang
International Journal of Computer Vision 132 (1), 224-237, 2024
302024
Promptbench: A unified library for evaluation of large language models
K Zhu, Q Zhao, H Chen, J Wang, X Xie
Journal of Machine Learning Research 25 (254), 1-22, 2024
282024
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
H Chen, J Wang, A Shah, R Tao, H Wei, X Xie, M Sugiyama, B Raj
Internation Conference on Learning Representation (ICLR), 2024
202024
Adversarial Large-Scale Root Gap Inpainting
H Chen, M Valerio Giuffrida, P Doerner, SA Tsaftaris
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
192019
Root gap correction with a deep inpainting model
H Chen, MV Giuffrida, P Doerner, SA Tsaftaris
172018
AgentReview: Exploring Peer Review Dynamics with LLM Agents
Y Jin, Q Zhao, Y Wang, H Chen, K Zhu, Y Xiao, J Wang
arXiv preprint arXiv:2406.12708, 2024
162024
An embarrassingly simple baseline for imbalanced semi-supervised learning
H Chen, Y Fan, Y Wang, J Wang, B Schiele, X Xie, M Savvides, B Raj
arXiv preprint arXiv:2211.11086, 2022
162022
Promptrobust: Towards evaluating the robustness of large language models on adversarial prompts
K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ...
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with …, 2023
152023
ControlVAR: Exploring Controllable Visual Autoregressive Modeling
X Li, K Qiu, H Chen, J Kuen, Z Lin, R Singh, B Raj
arXiv preprint arXiv:2406.09750, 2024
142024
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