Han Guo 个人学术档案 - 学术资源搜索

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引用	1161	1148
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i10 指数	12	12

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Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Ramakanth PasunuruFAIR at Meta在 fb.com 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Zhiting HuAssistant Professor at UC San Diego在 ucsd.edu 的电子邮件经过验证
Boyang "Albert" LiNanyang Associate Professor, Nanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
Mohamed Elhoseiny, Ph.D.Assistant Professor, KAUST (hiring postdocs & grad students)在 kaust.edu.sa 的电子邮件经过验证
Zhengzhong LiuCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Peter HasePhD Student, University of North Carolina at Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Caiming XiongSalesforce Research在 salesforce.com 的电子邮件经过验证
Nazneen RajaniHugging Face在 huggingface.co 的电子邮件经过验证
Youngseog ChungCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Jeff SchneiderCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Willie NeiswangerPostdoc, Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Ian CharPhD Student, Carnegie Mellon在 andrew.cmu.edu 的电子邮件经过验证
Yoon KimAssistant Professor, MIT在 mit.edu 的电子邮件经过验证
Hao ZhangUC San Diego在 ucsd.edu 的电子邮件经过验证

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Han Guo

Carnegie Mellon University

在 cs.cmu.edu 的电子邮件经过验证 - 首页

Machine Learning Deep Learning Natural Language Processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning M Deng, J Wang, CP Hsieh, Y Wang, H Guo, T Shu, M Song, EP Xing, ... arXiv preprint arXiv:2205.12548, 2022	220	2022
VisualGPT: Data-efficient adaptation of pretrained language models for image captioning J Chen, H Guo, K Yi, B Li, M Elhoseiny arXiv preprint arXiv:2102.10407, 2021	174	2021
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation H Guo, R Pasunuru, M Bansal ACL 2018, 2018	159	2018
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits H Guo, R Pasunuru, M Bansal AAAI 2020, 2020	128	2020
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging H Guo, NF Rajani, P Hase, M Bansal, C Xiong arXiv preprint arXiv:2012.15781, 2020	90	2020
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification H Guo, R Pasunuru, M Bansal COLING 2018, 2018	84	2018
Uncertainty toolbox: an open-source library for assessing, visualizing, and improving uncertainty quantification Y Chung, I Char, H Guo, J Schneider, W Neiswanger arXiv preprint arXiv:2109.10254, 2021	81	2021
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data H Guo, B Tan, Z Liu, E Xing, Z Hu Findings of the Association for Computational Linguistics: EMNLP 2022, 6969-6991, 2022	53*	2022
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning H Guo, R Pasunuru, M Bansal NAACL 2019, 2019	51	2019
Towards Improving Abstractive Summarization via Entailment Generation R Pasunuru, H Guo, M Bansal Proceedings of the Workshop on New Frontiers in Summarization, 27-32, 2017	45	2017
MPCFormer: fast, performant and private Transformer inference with MPC D Li, R Shao, H Wang, H Guo, EP Xing, H Zhang arXiv preprint arXiv:2211.01452, 2022	41	2022
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning H Guo, P Greengard, EP Xing, Y Kim arXiv preprint arXiv:2311.12023, 2023	13	2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach H Guo, P Greengard, H Wang, A Gelman, Y Kim, EP Xing arXiv preprint arXiv:2302.04228, 2023	9	2023
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation H Guo, R Pasunuru, M Bansal Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2021	7	2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits R Pasunuru, H Guo, M Bansal Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020	6	2020

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