Ansong Ni

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Code Generation

Outcome Prediction

Semantic Parsing

Top Venues

ICSE (Companion Volume)

Publications

Martin Riddell, Ansong Ni, Arman Cohan
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. CoRR (2024)
Martin Riddell, Ansong Ni, Arman Cohan
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. ACL (1) (2024)
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
NExT: Teaching Large Language Models to Reason about Code Execution. CoRR (2024)
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR (2024)
Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin
LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML (2023)
Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR (2023)
Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR (2023)
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
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR (2023)
Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR (2022)
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
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR (2022)
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
Leveraging Locality in Abstractive Text Summarization. CoRR (2022)
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
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP (2022)
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
Leveraging Locality in Abstractive Text Summarization. EMNLP (2022)
Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. ACL (1) (2022)
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. ACL (1) (2022)
Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev
Explicit Knowledge Transfer for Weakly-Supervised Code Generation. CoRR (2022)
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 R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR (2022)
Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. CoRR (2021)
Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco M. Manquinho, Ruben Martins, Claire Le Goues
SOAR: A Synthesis Approach for Data Science API Refactoring. CoRR (2021)
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. EMNLP (Findings) (2021)
Ansong Ni, Matt Gardner, Pradeep Dasigi
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. EMNLP (1) (2021)
Ansong Ni, Matt Gardner, Pradeep Dasigi
Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. CoRR (2021)
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. CoRR (2021)
Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco M. Manquinho, Ruben Martins, Claire Le Goues
Replication of SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE (Companion Volume) (2021)
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev
SummerTime: Text Summarization Toolkit for Non-experts. CoRR (2021)
Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco M. Manquinho, Ruben Martins, Claire Le Goues
SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE (2021)
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. CoRR (2021)
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev
SummerTime: Text Summarization Toolkit for Non-experts. EMNLP (Demos) (2021)
Ansong Ni, Pengcheng Yin, Graham Neubig
Merging Weak and Active Supervision for Semantic Parsing. AAAI (2020)
Ansong Ni, Pengcheng Yin, Graham Neubig
Merging Weak and Active Supervision for Semantic Parsing. CoRR (2019)
Ansong Ni, Ming Li
ACONA: active online model adaptation for predicting continuous integration build failures. ICSE (Companion Volume) (2018)
Ansong Ni, Ming Li
Cost-effective build outcome prediction using cascaded classifiers. MSR (2017)