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2020 – today
- 2024
[j2]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. Trans. Assoc. Comput. Linguistics 12: 1311-1329 (2024)- [j1]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. Trans. Assoc. Comput. Linguistics 12: 1311-1329 (2024) - [c16]Martin Riddell, Ansong Ni, Arman Cohan:
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. ACL (1) 2024: 14116-14137 - [c15]Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin:
NExT: Teaching Large Language Models to Reason about Code Execution. ICML 2024 - [i17]Martin Riddell, Ansong Ni, Arman Cohan:
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. CoRR abs/2403.04811 (2024) - [i16]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 abs/2404.14662 (2024) - [i15]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 abs/2407.10956 (2024) - 2023
- [c14]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 - [c13]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: 26106-26128 - [i14]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 abs/2302.08468 (2023) - [i13]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 abs/2309.17446 (2023) - 2022
- [c12]Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang:
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. ACL (1) 2022: 1592-1604 - [c11]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: 1687-1698 - [c10]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: 602-631 - [c9]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev:
Leveraging Locality in Abstractive Text Summarization. EMNLP 2022: 6081-6093 - [i12]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 abs/2201.05966 (2022) - [i11]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
Leveraging Locality in Abstractive Text Summarization. CoRR abs/2205.12476 (2022) - [i10]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 abs/2205.14318 (2022) - [i9]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 abs/2209.00840 (2022) - [i8]Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev:
Explicit Knowledge Transfer for Weakly-Supervised Code Generation. CoRR abs/2211.16740 (2022) - 2021
- [c8]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: 329-338 - [c7]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: 4426-4433 - [c6]Ansong Ni, Matt Gardner, Pradeep Dasigi:
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. EMNLP (1) 2021: 6149-6161 - [c5]Ansong Ni, Daniel Ramos
, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE 2021: 112-124 - [c4]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
Replication of SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE (Companion Volume) 2021: 190-191 - [i7]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
SOAR: A Synthesis Approach for Data Science API Refactoring. CoRR abs/2102.06726 (2021) - [i6]Ansong Ni, Matt Gardner, Pradeep Dasigi:
Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. CoRR abs/2103.12235 (2021) - [i5]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 abs/2108.12738 (2021) - [i4]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 abs/2109.04609 (2021) - [i3]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 abs/2110.08168 (2021) - [i2]Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang:
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. CoRR abs/2110.10150 (2021) - 2020
- [c3]Ansong Ni, Pengcheng Yin, Graham Neubig:
Merging Weak and Active Supervision for Semantic Parsing. AAAI 2020: 8536-8543
2010 – 2019
- 2019
- [i1]Ansong Ni, Pengcheng Yin, Graham Neubig:
Merging Weak and Active Supervision for Semantic Parsing. CoRR abs/1911.12986 (2019) - 2018
- [c2]Ansong Ni, Ming Li:
ACONA: active online model adaptation for predicting continuous integration build failures. ICSE (Companion Volume) 2018: 366-367 - 2017
- [c1]Ansong Ni, Ming Li:
Cost-effective build outcome prediction using cascaded classifiers. MSR 2017: 455-458
Coauthor Index
aka: Ahmed Hassan Awadallah
aka: Dragomir Radev
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last updated on 2024-10-25 21:15 CEST by the dblp team
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