Ansong Ni

37 papers A* 9A 1Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework.
CoRR
Dong Wang, Yang Li, Ansong Ni, Ching-Feng Yeh, Youssef Emad, Xinjie Lei, Liam Robbins, Karthik Padthe, Hu Xu, Xian Li, Asli Celikyilmaz, Ramya Raghavendra, Lifei Huang, Carole-Jean Wu, Shang-wen Li
2025 J jnl
PrefPalette: Personalized Preference Modeling with Latent Attributes.
CoRR
Shuyue Stella Li, Melanie Sclar, Hunter Lang, Ansong Ni, Jacqueline He, Puxin Xu, Andrew Cohen, Chan Young Park, Yulia Tsvetkov, Asli Celikyilmaz
2024 A* conf
FOLIO: Natural Language Reasoning with First-Order Logic.
EMNLP
Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev
2024 A* conf
NExT: Teaching Large Language Models to Reason about Code Execution.
ICML
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
2024 J jnl
NExT: Teaching Large Language Models to Reason about Code Execution.
CoRR
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
2024 — conf
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models.
ACL (1)
Martin Riddell, Ansong Ni, Arman Cohan
2024 J jnl
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models.
CoRR
Martin Riddell, Ansong Ni, Arman Cohan
2024 A* conf
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NeurIPS
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
2024 J jnl
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
CoRR
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
2023 J jnl
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
CoRR
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
2023 A* conf
LEVER: Learning to Verify Language-to-Code Generation with Execution.
ICML
Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023 J jnl
LEVER: Learning to Verify Language-to-Code Generation with Execution.
CoRR
Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023 A* conf
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions.
ICLR
Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
2022 — conf
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.
ACL (1)
Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
2022 J jnl
Explicit Knowledge Transfer for Weakly-Supervised Code Generation.
CoRR
Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev
2022 J jnl
FOLIO: Natural Language Reasoning with First-Order Logic.
CoRR
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
2022 J jnl
Learning from Self-Sampled Correct and Partially-Correct Programs.
CoRR
Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao
2022 A* conf
Leveraging Locality in Abstractive Text Summarization.
EMNLP
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
2022 J jnl
Leveraging Locality in Abstractive Text Summarization.
CoRR
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
2022 — conf
Summ
ACL (1)
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
2022 A* conf
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
EMNLP
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
2022 J jnl
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
CoRR
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
2021 — conf
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.
EMNLP (Findings)
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
2021 J jnl
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.
CoRR
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
2021 J jnl
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.
CoRR
Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
2021 — conf
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization.
EMNLP (1)
Ansong Ni, Matt Gardner, Pradeep Dasigi
2021 J jnl
Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization.
CoRR
Ansong Ni, Matt Gardner, Pradeep Dasigi
2021 — conf
Replication of SOAR: A Synthesis Approach for Data Science API Refactoring.
ICSE (Companion Volume)
Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues
2021 A* conf
SOAR: A Synthesis Approach for Data Science API Refactoring.
ICSE
Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues
2021 J jnl
SOAR: A Synthesis Approach for Data Science API Refactoring.
CoRR
Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues
2021 J jnl
Summ
CoRR
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
2021 — conf
SummerTime: Text Summarization Toolkit for Non-experts.
EMNLP (Demos)
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev
2021 J jnl
SummerTime: Text Summarization Toolkit for Non-experts.
CoRR
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev
2020 A* conf
Merging Weak and Active Supervision for Semantic Parsing.
AAAI
Ansong Ni, Pengcheng Yin, Graham Neubig
2019 J jnl
Merging Weak and Active Supervision for Semantic Parsing.
CoRR
Ansong Ni, Pengcheng Yin, Graham Neubig
2018 — conf
ACONA: active online model adaptation for predicting continuous integration build failures.
ICSE (Companion Volume)
Ansong Ni, Ming Li
2017 A conf
Cost-effective build outcome prediction using cascaded classifiers.
MSR
Ansong Ni, Ming Li