Eric Xing
Carnegie Mellon University
H-index: 114
North America-United States
Top articles of Eric Xing
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Learning to Prompt Segment Anything Models | arXiv preprint arXiv:2401.04651 | Jiaxing Huang Kai Jiang Jingyi Zhang Han Qiu Lewei Lu | 2024/1/9 |
Judging llm-as-a-judge with mt-bench and chatbot arena | Advances in Neural Information Processing Systems | Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu | 2024/2/13 |
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT | arXiv preprint arXiv:2402.16840 | Omkar Thawakar Ashmal Vayani Salman Khan Hisham Cholakal Rao M Anwer | 2024/2/26 |
Temporally Disentangled Representation Learning under Unknown Nonstationarity | NeurIPS 2023 | Xiangchen Song Weiran Yao Yewen Fan Xinshuai Dong Guangyi Chen | 2023/10/28 |
Cappy: Outperforming and boosting large multi-task lms with a small scorer | Advances in Neural Information Processing Systems | Bowen Tan Yun Zhu Lijuan Liu Eric Xing Zhiting Hu | 2024/2/13 |
AttentionPert: Accurately Modeling Multiplexed Genetic Perturbations with Multi-scale Effects | bioRxiv | Ding Bai Caleb Ellington Shentong Mo Le Song Eric Xing | 2024/2/7 |
Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective | Advances in Neural Information Processing Systems, Spotlight | Zeyuan Yin* Eric Xing Zhiqiang Shen* | 2024/2/13 |
Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding | arXiv preprint arXiv:2402.19009 | Guangyi Liu Yu Wang Zeyu Feng Qiyu Wu Liping Tang | 2024/2/29 |
Toward Inference-optimal Mixture-of-Expert Large Language Models | arXiv preprint arXiv:2404.02852 | Longfei Yun Yonghao Zhuang Yao Fu Eric P Xing Hao Zhang | 2024/4/3 |
Semantic-aligned matching for enhanced detr convergence and multi-scale feature fusion | International Journal of Computer Vision (IJCV) | Gongjie Zhang Zhipeng Luo Jiaxing Huang Shijian Lu Eric P Xing | 2024 |
Making scalable meta learning practical | Advances in neural information processing systems | Sang Choe Sanket Vaibhav Mehta Hwijeen Ahn Willie Neiswanger Pengtao Xie | 2024/2/13 |
Efficient Test-Time Adaptation of Vision-Language Models | arXiv preprint arXiv:2403.18293 | Adilbek Karmanov Dayan Guan Shijian Lu Abdulmotaleb El Saddik Eric Xing | 2024/3/27 |
Trustllm: Trustworthiness in large language models | arXiv preprint arXiv:2401.05561 | Lichao Sun Yue Huang Haoran Wang Siyuan Wu Qihui Zhang | 2024/1/10 |
Identification of nonlinear latent hierarchical models | Lingjing Kong Biwei Huang Feng Xie Eric Xing Yuejie Chi | 2023/12 | |
Counterfactual generation with identifiability guarantees | Advances in Neural Information Processing Systems | Hanqi Yan Lingjing Kong Lin Gui Yuejie Chi Eric Xing | 2023/12 |
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems | arXiv preprint arXiv:2402.17840 | Zhenting Qi Hanlin Zhang Eric Xing Sham Kakade Himabindu Lakkaraju | 2024/2/27 |
Defending Against Poisoning Attacks in Federated Learning with Blockchain | IEEE Transactions on Artificial Intelligence | Nanqing Dong Zhipeng Wang Jiahao Sun Michael Kampffmeyer William Knottenbelt | 2024/3/18 |
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models | arXiv preprint arXiv:2402.12563 | Loka Li Guangyi Chen Yusheng Su Zhenhao Chen Yixuan Zhang | 2024/2/19 |
FedNAR: Federated Optimization with Normalized Annealing Regularization | Advances in Neural Information Processing Systems | Junbo Li Ang Li Chong Tian Qirong Ho Eric Xing | 2024/2/13 |
FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization | arXiv preprint arXiv:2403.06908 | Jiahui Zhang Fangneng Zhan Muyu Xu Shijian Lu Eric Xing | 2024/3/11 |