| ECNet is an evolutionary context-integrated deep learning framework for protein engineering Y Luo, G Jiang, T Yu, Y Liu, L Vo, H Ding, Y Su, WW Qian, H Zhao, J Peng Nature communications 12 (1), 5743, 2021 | 165 | 2021 |
| 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 | 149* | 2022 |
| 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 | 93 | 2023 |
| SP-10K: A large-scale evaluation set for selectional preference acquisition H Zhang, H Ding, Y Song ACL 2019 [arXiv:1906.02123], 2019 | 33 | 2019 |
| Exploring Continual Learning for Code Generation Models P Yadav, Q Sun, H Ding, X Li, D Zhang, M Tan, X Ma, P Bhatia, ... ACL2023 [arXiv:2307.02435], 2023 | 27 | 2023 |
| A static evaluation of code completion by large language models H Ding, V Kumar, Y Tian, Z Wang, R Kwiatkowski, X Li, MK Ramanathan, ... ACL2023 [arXiv:2306.03203], 2023 | 20* | 2023 |
| Evolutionary context-integrated deep sequence modeling for protein engineering Y Luo, L Vo, H Ding, Y Su, Y Liu, WW Qian, H Zhao, J Peng Research in Computational Molecular Biology: 24th Annual International …, 2020 | 20 | 2020 |
| Towards open-domain topic classification H Ding, J Yang, Y Deng, H Zhang, D Roth NAACL 2022 [arXiv:2306.17290], 2022 | 15 | 2022 |
| 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 | 12 | 2024 |
| Code Representation Learning At Scale D Zhang, W Ahmad, M Tan, H Ding, R Nallapati, D Roth, X Ma, B Xiang ICLR 2024 [arXiv:2402.01935], 2024 | 11 | 2024 |
| Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops AC Lozano, H Ding, N Abe, AE Lipka BMC bioinformatics 24 (1), 399, 2023 | 5 | 2023 |
| 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 |
| Programmatically generating evaluation data sets for code generation models P Athiwaratkun, Z Lin, R Keerthi, Z Wang, T Yuchen, H Ding, SRA Bontala, ... US Patent 12,141,553, 2024 | 2 | 2024 |
| Horizon-length prediction: Advancing fill-in-the-middle capabilities for code generation with lookahead planning Y Ding, H Ding, S Wang, Q Sun, V Kumar, Z Wang arXiv preprint arXiv:2410.03103, 2024 | 1 | 2024 |
| Bifurcated attention for single-context large-batch sampling B Athiwaratkun, SK Gonugondla, SK Gouda, H Qian, H Ding, Q Sun, ... ICML 2024 [arXiv:2403.08845], 2024 | 1* | 2024 |
