Xiaofei Ma

According to our database, Xiaofei Ma authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CodeFort: Robust Training for Code Generation Models.

Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras

CoRR, 2024

BASS: Batched Attention-optimized Speculative Sampling.

Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras

CoRR, 2024

Repoformer: Selective Retrieval for Repository-Level Code Completion.

Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma

CoRR, 2024

Code Representation Learning At Scale.

Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang

CoRR, 2024

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM.

Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray

CoRR, 2024

2023

Self-consistency for open-ended generations.

Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang

CoRR, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.

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

CoRR, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SWING: Balancing Coverage and Faithfulness for Dialogue Summarization.

Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Efficient Shapley Values Estimation by Amortization for Text Classification.

Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring Continual Learning for Code Generation Models.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

ContraCLM: Contrastive Learning For Causal Language Model.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation.

Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Uncertainty-Based Active Learning for Reading Comprehension.

Jing Wang, Jie Shen, Xiaofei Ma, Andrew O. Arnold

Trans. Mach. Learn. Res., 2022

ContraGen: Effective Contrastive Learning For Causal Language Model.

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

CoRR, 2022

Debiasing Neural Retrieval via In-batch Balancing Regularization.

Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold

CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth

CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning Dialogue Representations from Consecutive Utterances.

Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Virtual Augmentation Supported Contrastive Learning of Sentence Representations.

Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification.

Mingwen Dong, Christos Christodoulopoulos, Sheng-Min Shih, Xiaofei Ma

CoRR, 2021

Contrastive Document Representation Learning with Graph Attention Networks.

Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Contrastive Fine-tuning Improves Robustness for Neural Rankers.

Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Beyond [CLS] through Ranking by Generation.

Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Universal Text Representation from BERT: An Empirical Study.

Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang

CoRR, 2019

Passage Ranking with Weak Supervsion.

Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

CoRR, 2019

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering.

Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Adaptation with BERT-based Domain Classification and Data Selection.

Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019