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Publication search results
found 44 matches
- 2024
- Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras:
BASS: Batched Attention-optimized Speculative Sampling. ACL (Findings) 2024: 8214-8224 - Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. WWW 2024: 1986-1997 - Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. CoRR abs/2403.09712 (2024) - Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras:
BASS: Batched Attention-optimized Speculative Sampling. CoRR abs/2404.15778 (2024) - Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras:
CodeFort: Robust Training for Code Generation Models. CoRR abs/2405.01567 (2024) - Xiaoshuang Huang, Haifeng Huang, Lingdong Shen, Yehui Yang, Fangxin Shang, Junwei Liu, Jia Liu:
A Refer-and-Ground Multimodal Large Language Model for Biomedicine. CoRR abs/2406.18146 (2024) - 2023
- Haifeng Shang, Daoguo Zhou:
Optimal decay for the 2D anisotropic Navier-Stokes equations with mixed partial dissipation. Appl. Math. Lett. 144: 108696 (2023) - Haifeng Shi, Ling Shang:
Research on big data personalised recommendation model based on deep reinforcement learning. Int. J. Netw. Virtual Organisations 28(2/3/4): 364-380 (2023) - Kai Yang, Ni An, Xiaoting Shang, Weiqiao Wang, Haifeng Zhang:
Uncertain retailer-led supply chain contract design under asymmetric delivery reliability information: sequential ordering and pricing decisions. J. Ambient Intell. Humaniz. Comput. 14(3): 2797-2809 (2023) - Lei Xu, Honghui Shang, Xin Chen, Yunquan Zhang, Lifang Wang, Xingyu Gao, Haifeng Song:
Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer. IEEE Trans. Parallel Distributed Syst. 34(7): 1997-2010 (2023) - Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 2023: 13818-13843 - Jingjie Shang, Haifeng Jiang, Chaogang Tang, Huaming Wu, Shuhao Wang, Shoujun Zhang:
Multi-stage Optimization of Incentive Mechanisms for Mobile Crowd Sensing Based on Top-Trading Cycles. ICA3PP (1) 2023: 170-186 - Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati:
Multi-lingual Evaluation of Code Generation Models. ICLR 2023 - Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR abs/2303.05378 (2023) - Xin Chen, Yucheng Ouyang, Xin Chen, Zhenchuan Chen, Rongfen Lin, Xingyu Gao, Lifang Wang, Fang Li, Yin Liu, Honghui Shang, Haifeng Song:
TensorMD: Scalable Tensor-Diagram based Machine Learning Interatomic Potential on Heterogeneous Many-Core Processors. CoRR abs/2310.08439 (2023) - Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma:
SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations. CoRR abs/2312.00377 (2023) - 2022
- Haifeng Shang, Mengyu Guo:
Global regularity for the 2D micropolar Rayleigh-Bénard problem with partial dissipation. Appl. Math. Lett. 128: 107899 (2022) - Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu:
DuReadervis: A Chinese Dataset for Open-domain Document Visual Question Answering. ACL (Findings) 2022: 1338-1351 - Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao:
A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. CIKM 2022: 4304-4308 - Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. CoRR abs/2212.10264 (2022) - 2021
- Lihua Deng, Haifeng Shang:
Global well-posedness for n-dimensional magneto-micropolar equations with hyperdissipation. Appl. Math. Lett. 111: 106610 (2021) - Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer. ACL/IJCNLP (1) 2021: 2914-2927 - Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. ACL/IJCNLP (Findings) 2021: 2173-2183 - Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang:
Settling the Variance of Multi-Agent Policy Gradients. NeurIPS 2021: 13458-13470 - Honghui Shang, Xin Chen, Xingyu Gao, Rongfen Lin, Lifang Wang, Fang Li, Qian Xiao, Lei Xu, Qiang Sun, Leilei Zhu, Fei Wang, Yunquan Zhang, Haifeng Song:
TensorKMC: kinetic Monte Carlo simulation of 50 trillion atoms driven by deep learning on a new generation of Sunway supercomputer. SC 2021: 73 - Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. CoRR abs/2107.02137 (2021) - Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. CoRR abs/2108.06027 (2021) - Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang:
Settling the Variance of Multi-Agent Policy Gradients. CoRR abs/2108.08612 (2021)
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