Ansong Ni

According to our database, Ansong Ni authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models.

Martin Riddell, Ansong Ni, Arman Cohan

CoRR, 2024

2023

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.

Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan

CoRR, 2023

LEVER: Learning to Verify Language-to-Code Generation with Execution.

Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin

Proceedings of the International Conference on Machine Learning, 2023

Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions.

Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Explicit Knowledge Transfer for Weakly-Supervised Code Generation.

Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev

CoRR, 2022

FOLIO: Natural Language Reasoning with First-Order Logic.

Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev

CoRR, 2022

Learning from Self-Sampled Correct and Partially-Correct Programs.

Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao

CoRR, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.

Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Leveraging Locality in Abstractive Text Summarization.

Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.

Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.

Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization.

Ansong Ni, Matt Gardner, Pradeep Dasigi

CoRR, 2021

Replication of SOAR: A Synthesis Approach for Data Science API Refactoring.

Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco M. Manquinho, Ruben Martins, Claire Le Goues

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

SOAR: A Synthesis Approach for Data Science API Refactoring.

Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco M. Manquinho, Ruben Martins, Claire Le Goues

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

SummerTime: Text Summarization Toolkit for Non-experts.

Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization.

Ansong Ni, Matt Gardner, Pradeep Dasigi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.

Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev

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

2020

Merging Weak and Active Supervision for Semantic Parsing.

Ansong Ni, Pengcheng Yin, Graham Neubig

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

ACONA: active online model adaptation for predicting continuous integration build failures.

Ansong Ni, Ming Li

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

Cost-effective build outcome prediction using cascaded classifiers.

Ansong Ni, Ming Li

Proceedings of the 14th International Conference on Mining Software Repositories, 2017