Cost-effective build outcome prediction using cascaded classifiers. - Ansong Ni; Ming Li 005 (MSR, 2017)

ACONA: active online model adaptation for predicting continuous integration build failures. - Ansong Ni; Ming Li 005 (ICSE (Companion Volume), 2018)

Merging Weak and Active Supervision for Semantic Parsing. - Ansong Ni; Pengcheng Yin; Graham Neubig (AAAI, 2020)

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. - Yusen Zhang 001; Ansong Ni; Tao Yu 009; Rui Zhang 037; Chenguang Zhu 001; Budhaditya Deb; Asli Celikyilmaz; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Findings), 2021)

Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. - Ansong Ni; Matt Gardner 001; Pradeep Dasigi (EMNLP (1), 2021)

SummerTime: Text Summarization Toolkit for Non-experts. - Ansong Ni; Zhangir Azerbayev; Mutethia Mutuma; Troy Feng; Yusen Zhang 001; Tao Yu 009; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Demos), 2021)

SOAR: A Synthesis Approach for Data Science API Refactoring. - Ansong Ni; Daniel Ramos; Aidan Z. H. Yang; Inês Lynce; Vasco Manquinho; Ruben Martins; Claire Le Goues (ICSE, 2021)

Replication of SOAR: A Synthesis Approach for Data Science API Refactoring. - Ansong Ni; Daniel Ramos; Aidan Z. H. Yang; Inês Lynce; Vasco Manquinho; Ruben Martins; Claire Le Goues (ICSE (Companion Volume), 2021)

Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. - Ansong Ni; Matt Gardner 001; Pradeep Dasigi (CoRR, 2021)

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. - Yusen Zhang 001; Ansong Ni; Ziming Mao; Chen Henry Wu; Chenguang Zhu 001; Budhaditya Deb; Ahmed Hassan Awadallah; Dragomir R. Radev; Rui Zhang 037 (ACL (1), 2022)

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. - Ziming Mao; Chen Henry Wu; Ansong Ni; Yusen Zhang 001; Rui Zhang 037; Tao Yu 009; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir R. Radev (ACL (1), 2022)

Leveraging Locality in Abstractive Text Summarization. - Yixin Liu 003; Ansong Ni; Linyong Nan; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir Radev (EMNLP, 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 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 001 (CoRR, 2022)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan 001; et al. (CoRR, 2022)

Explicit Knowledge Transfer for Weakly-Supervised Code Generation. - Zhangir Azerbayev; Ansong Ni; Hailey Schoelkopf; Dragomir Radev (CoRR, 2022)

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 001 (ICLR, 2023)

LEVER: Learning to Verify Language-to-Code Generation with Execution. - Ansong Ni; Srini Iyer 001; Dragomir Radev; Veselin Stoyanov; Wen-Tau Yih; Sida I. Wang; Xi Victoria Lin (ICML, 2023)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (CoRR, 2023)

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. - Martin Riddell; Ansong Ni; Arman Cohan (ACL (1), 2024)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 2024)

NExT: Teaching Large Language Models to Reason about Code Execution. - Ansong Ni; Miltiadis Allamanis; Arman Cohan; Yinlin Deng; Kensen Shi; Charles Sutton; Pengcheng Yin (ICML, 2024)

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? - Ruisheng Cao; Fangyu Lei; Haoyuan Wu; Jixuan Chen; Yeqiao Fu; Hongcheng Gao; Xinzhuang Xiong; Hanchong Zhang; Wenjing Hu; Yuchen Mao; Tianbao Xie; Hongshen Xu; et al. (NeurIPS, 2024)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (Trans. Assoc. Comput. Linguistics, 2024)

PrefPalette: Personalized Preference Modeling with Latent Attributes. - Shuyue Stella Li; Melanie Sclar; Hunter Lang; Ansong Ni; Jacqueline He; Puxin Xu; Andrew Cohen; Chan Young Park; Yulia Tsvetkov; Asli Celikyilmaz (CoRR, 2025)