| UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 | 301* | 2022 |
| LEVER: Learning to Verify Language-to-Code Generation with Execution A Ni, S Iyer, D Radev, V Stoyanov, W Yih, SI Wang, XV Lin 40th International Conference on Machine Learning (ICML), 2023 | 158 | 2023 |
| Folio: Natural language reasoning with first-order logic S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, L Benson, L Sun, E Zubova, ... arXiv preprint arXiv:2209.00840, 2022 | 119* | 2022 |
| Summ^ N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Y Zhang, A Ni, Z Mao, CH Wu, C Zhu, B Deb, AH Awadallah, D Radev, ... 60th Annual Meeting of the Association for Computational Linguistics (Volume …, 2021 | 96 | 2021 |
| DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization Z Mao, CH Wu, A Ni, Y Zhang, R Zhang, T Yu, B Deb, C Zhu, ... 60th Annual Meeting of the Association for Computational Linguistics (Volume …, 2021 | 66 | 2021 |
| Cost-effective build outcome prediction using cascaded classifiers A Ni, M Li 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 55 | 2017 |
| An Exploratory Study on Long Dialogue Summarization: What Works and What's Next Y Zhang, A Ni, T Yu, R Zhang, C Zhu, B Deb, A Celikyilmaz, ... Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 | 53 | 2021 |
| Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions A Ni, JP Inala, C Wang, A Polozov, C Meek, D Radev, J Gao International Conference on Learning Representations (ICLR), 2023 | 35* | 2023 |
| SOAR: A Synthesis Approach for Data Science API Refactoring A Ni, D Ramos, AZH Yang, I Lynce, V Manquinho, R Martins, C Le Goues 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 30 | 2021 |
| Leveraging Locality in Abstractive Text Summarization Y Liu, A Ni, L Nan, B Deb, C Zhu, AH Awadallah, D Radev 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 | 29 | 2022 |
| Merging weak and active supervision for semantic parsing A Ni, P Yin, G Neubig Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 34 (05 …, 2020 | 22 | 2020 |
| Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models M Riddell, A Ni, A Cohan arXiv preprint arXiv:2403.04811, 2024 | 17 | 2024 |
| L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models A Ni, P Yin, Y Zhao, M Riddell, T Feng, R Shen, S Yin, Y Liu, S Yavuz, ... Transactions of the Association for Computational Linguistics 12, 1311-1329, 2024 | 14 | 2024 |
| SummerTime: Text Summarization Toolkit for Non-experts A Ni, Z Azerbayev, M Mutuma, T Feng, Y Zhang, T Yu, AH Awadallah, ... 2021 Conference on Empirical Methods in Natural Language Processing: System …, 2021 | 12 | 2021 |
| ACONA: active online model adaptation for predicting continuous integration build failures A Ni, M Li Proceedings of the 40th International Conference on Software Engineering …, 2018 | 10 | 2018 |
| Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization A Ni, M Gardner, P Dasigi 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | 9 | 2021 |
| NExT: Teaching Large Language Models to Reason about Code Execution A Ni, M Allamanis, A Cohan, Y Deng, K Shi, C Sutton, P Yin arXiv preprint arXiv:2404.14662, 2024 | 8 | 2024 |
| Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? R Cao, F Lei, H Wu, J Chen, Y Fu, H Gao, X Xiong, H Zhang, Y Mao, W Hu, ... arXiv preprint arXiv:2407.10956, 2024 | 6 | 2024 |
| Explicit Knowledge Transfer for Weakly-Supervised Code Generation Z Azerbayev, A Ni, H Schoelkopf, D Radev arXiv preprint arXiv:2211.16740, 2022 | 4 | 2022 |
Dragomir RadevProfessor, Computer Science, Yale UniversityGeverifieerd e-mailadres voor yale.edu