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ORCIDXiaofei Ma 0001
Person information
- affiliation: Amazon Web Services (AWS) AI Labs
Other persons with the same name
- Xiaofei Ma — disambiguation page
- Xiaofei Ma 0002
![[0000-0001-9456-0065]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9456-0065")
— Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, State Key Laboratory of Desert and Oasis Ecology, Urumqi, China (and 4 more) - Xiaofei Ma 0003 — Xi'an Institute of Space Radio Technology, Xi'an, China
- Xiaofei Ma 0004 — University of Macau, State Key Laboratory of Analog and Mixed-Signal VLSI, Macau, China (and 1 more)
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2020 – today
- 2024
[j2]Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. 1(FSE): 951-971 (2024)- [c19]Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang:
Lightweight reranking for language model generations. ACL (1) 2024: 6960-6984 - [c18]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 - [c17]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. EMNLP (Findings) 2024: 5262-5277 - [c16]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning at Scale. ICLR 2024 - [c15]Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma:
Repoformer: Selective Retrieval for Repository-Level Code Completion. ICML 2024 - [i24]Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR abs/2402.00097 (2024) - [i23]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning At Scale. CoRR abs/2402.01935 (2024) - [i22]Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma:
Repoformer: Selective Retrieval for Repository-Level Code Completion. CoRR abs/2403.10059 (2024) - [i21]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) - [i20]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) - [i19]Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras:
Training LLMs to Better Self-Debug and Explain Code. CoRR abs/2405.18649 (2024) - [i18]Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras:
Approximately Aligned Decoding. CoRR abs/2410.01103 (2024) - 2023
- [c14]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c13]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) 2023: 6436-6459 - [c12]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. ACL (1) 2023: 8666-8680 - [c11]Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma:
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. ACL (1) 2023: 11067-11083 - [c10]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. EACL (Findings) 2023: 512-525 - [c9]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 2023 - [i17]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. CoRR abs/2301.10483 (2023) - [i16]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR abs/2302.06729 (2023) - [i15]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR abs/2305.19998 (2023) - [i14]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. CoRR abs/2307.02435 (2023) - [i13]Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang:
Self-consistency for open-ended generations. CoRR abs/2307.06857 (2023) - 2022
- [j1]Jing Wang, Jie Shen, Xiaofei Ma, Andrew O. Arnold:
Uncertainty-Based Active Learning for Reading Comprehension. Trans. Mach. Learn. Res. 2022 (2022) - [c8]Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold:
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. ACL (Findings) 2022: 864-876 - [c7]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. NAACL-HLT (Findings) 2022: 465-475 - [c6]Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang:
Learning Dialogue Representations from Consecutive Utterances. NAACL-HLT 2022: 754-768 - [i12]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. CoRR abs/2205.09224 (2022) - [i11]Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold:
Debiasing Neural Retrieval via In-batch Balancing Regularization. CoRR abs/2205.09240 (2022) - [i10]Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang:
Learning Dialogue Representations from Consecutive Utterances. CoRR abs/2205.13568 (2022) - [i9]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR abs/2210.01185 (2022) - 2021
- [c5]Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold:
Contrastive Fine-tuning Improves Robustness for Neural Rankers. ACL/IJCNLP (Findings) 2021: 570-582 - [c4]Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang:
Contrastive Document Representation Learning with Graph Attention Networks. EMNLP (Findings) 2021: 3874-3884 - [i8]Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold:
Contrastive Fine-tuning Improves Robustness for Neural Rankers. CoRR abs/2105.12932 (2021) - [i7]Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold:
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. CoRR abs/2110.08552 (2021) - [i6]Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang:
Contrastive Document Representation Learning with Graph Attention Networks. CoRR abs/2110.10778 (2021) - [i5]Mingwen Dong, Christos Christodoulopoulos, Sheng-Min Shih, Xiaofei Ma:
Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification. CoRR abs/2112.07618 (2021) - 2020
- [c3]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. EMNLP (1) 2020: 1722-1727 - [i4]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. CoRR abs/2010.03073 (2020)
2010 – 2019
- 2019
- [c2]Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Domain Adaptation with BERT-based Domain Classification and Data Selection. DeepLo@EMNLP-IJCNLP 2019: 76-83 - [c1]Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. EMNLP/IJCNLP (1) 2019: 5877-5881 - [i3]Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Passage Ranking with Weak Supervsion. CoRR abs/1905.05910 (2019) - [i2]Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. CoRR abs/1908.08167 (2019) - [i1]Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang:
Universal Text Representation from BERT: An Empirical Study. CoRR abs/1910.07973 (2019)
Coauthor Index
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last updated on 2024-12-16 23:23 CET by the dblp team
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