Hantian Ding

According to our database, Hantian Ding authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bifurcated Attention for Single-Context Large-Batch Sampling.

Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang

CoRR, 2024

Code Representation Learning At Scale.

Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang

CoRR, 2024

2023

Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops.

Aurélie C. Lozano, Hantian Ding, Naoki Abe, Alexander E. Lipka

BMC Bioinform., December, 2023

Towards Open-Domain Topic Classification.

Hantian Ding, Jinrui Yang, Yuqian Deng, Hongming Zhang, Dan Roth

CoRR, 2023

A Static Evaluation of Code Completion by Large Language Models.

Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

CoRR, 2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-lingual Evaluation of Code Generation Models.

Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Continual Learning for Code Generation Models.

Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

A Static Evaluation of Code Completion by Large Language Models.

Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Multi-lingual Evaluation of Code Generation Models.

Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

CoRR, 2022

2020

Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering.

Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng

Proceedings of the Research in Computational Molecular Biology, 2020

2019

SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition.

Hongming Zhang, Hantian Ding, Yangqiu Song

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019