| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1356 | 2022 |
| Demographic inference and representative population estimates from multilingual social media data Z Wang, S Hale, DI Adelani, P Grabowicz, T Hartman, F Flöck, D Jurgens TheWebConf 2019 [arXiv:1905.05961], 2056-2067, 2019 | 263 | 2019 |
| Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 209 | 2024 |
| Multi-lingual Evaluation of Code Generation Models B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ... ICLR 2023 [arXiv:2210.14868], 2022 | 150* | 2022 |
| Answering Complex Open-domain Questions Through Iterative Query Generation P Qi, X Lin, L Mehr, Z Wang, CD Manning EMNLP 2019 [arXiv:1910.07000], 2019 | 147 | 2019 |
| CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion Y Ding, Z Wang, WU Ahmad, H Ding, M Tan, N Jain, MK Ramanathan, ... NeurIPS 2023 [arXiv:2310.11248], 2023 | 95 | 2023 |
| Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 79 | 2021 |
| ReCode: Robustness Evaluation of Code Generation Models S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan, B Ray, ... ACL 2023 [arXiv:2212.10264], 2022 | 75* | 2022 |
| It’s going to be okay: Measuring Access to Support in Online Communities Z Wang, D Jurgens EMNLP 2018, 33-45, 2018 | 65 | 2018 |
| Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... arXiv preprint arXiv:2406.15877, 2024 | 63 | 2024 |
| Cocomic: Code completion by jointly modeling in-file and cross-file context Y Ding, Z Wang, WU Ahmad, MK Ramanathan, R Nallapati, P Bhatia, ... LREC-COLING 2024 [arXiv:2212.10007], 2022 | 60 | 2022 |
| TalkDown: A Corpus for Condescension Detection in Context Z Wang, C Potts EMNLP 2019 [arXiv:1909.11272], 2019 | 58 | 2019 |
| DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization Z Li, Z Wang, M Tan, R Nallapati, P Bhatia, A Arnold, B Xiang, D Roth ACL 2022 [arXiv:2203.11239], 2022 | 43 | 2022 |
| A static evaluation of code completion by large language models H Ding, V Kumar, Y Tian, Z Wang, R Kwiatkowski, X Li, MK Ramanathan, ... ACL 2023 [arXiv:2306.03203], 2023 | 18 | 2023 |
| ContraCLM: Contrastive Learning For Causal Language Model N Jain, D Zhang, W Ahmad, Z Wang, F Nan, X Li, M Tan, R Nallapati, ... ACL 2023 [arXiv:2210.01185], 2023 | 14 | 2023 |
| Fewer Truncations Improve Language Modeling H Ding, Z Wang, G Paolini, V Kumar, A Deoras, D Roth, S Soatto ICML 2024 [arXiv:2404.10830], 2024 | 13 | 2024 |
| Towards greener yet powerful code generation via quantization: An empirical study X Wei, SK Gonugondla, S Wang, W Ahmad, B Ray, H Qian, X Li, V Kumar, ... ESEC/FSE 2023 [arxiv:2303.05378], 2023 | 13* | 2023 |
| Debiasing Neural Retrieval via In-batch Balancing Regularization Y Li, X Wei, Z Wang, S Wang, P Bhatia, X Ma, A Arnold GeBNLP@NAACL 2022 [arXiv:2205.09240], 2022 | 6 | 2022 |
| Social work in the classroom? A tool to evaluate topical relevance in student writing H Choi, Z Wang, C Brooks, K Collins-Thompson, BG Reed, D Fitch Proceedings of the 10th International Conference on Educational Data Mining …, 2017 | 5 | 2017 |
| Learning code preference via synthetic evolution J Liu, T Nguyen, M Shang, H Ding, X Li, Y Yu, V Kumar, Z Wang arXiv preprint arXiv:2410.03837, 2024 | 4 | 2024 |
Bing XiangHead of AI Research, Goldman SachsVerifisert e-postadresse på gs.com