SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition. - Hongming Zhang 009; Hantian Ding; Yangqiu Song (ACL (1), 2019)

Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering. - Yunan Luo; Lam Vo; Hantian Ding; Yufeng Su; Yang Liu 097; Wesley Wei Qian; Huimin Zhao 007; Jian Peng 001 (RECOMB, 2020)

Multi-lingual Evaluation of Code Generation Models. - Ben Athiwaratkun; Sanjay Krishna Gouda; Zijian Wang 002; Xiaopeng Li 002; Yuchen Tian; Ming Tan; Wasi Uddin Ahmad; Shiqi Wang 002; Qing Sun; Mingyue Shang; Sujan Kumar Gonugondla; Hantian Ding; et al. (CoRR, 2022)

A Static Evaluation of Code Completion by Large Language Models. - Hantian Ding; Varun Kumar; Yuchen Tian; Zijian Wang 002; Rob Kwiatkowski; Xiaopeng Li 002; Murali Krishna Ramanathan; Baishakhi Ray; Parminder Bhatia; Sudipta Sengupta; Dan Roth 001; Bing Xiang (ACL (industry), 2023)

Exploring Continual Learning for Code Generation Models. - Prateek Yadav; Qing Sun; Hantian Ding; Xiaopeng Li 002; Dejiao Zhang; Ming Tan; Parminder Bhatia; Xiaofei Ma 001; Ramesh Nallapati; Murali Krishna Ramanathan; Mohit Bansal; Bing Xiang (ACL (2), 2023)

Multi-lingual Evaluation of Code Generation Models. - Ben Athiwaratkun; Sanjay Krishna Gouda; Zijian Wang 002; Xiaopeng Li 002; Yuchen Tian; Ming Tan; Wasi Uddin Ahmad; Shiqi Wang 002; Qing Sun; Mingyue Shang; Sujan Kumar Gonugondla; Hantian Ding; et al. (ICLR, 2023)

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. - Yangruibo Ding; Zijian Wang 002; Wasi Uddin Ahmad; Hantian Ding; Ming Tan; Nihal Jain; Murali Krishna Ramanathan; Ramesh Nallapati; Parminder Bhatia; Dan Roth 001; Bing Xiang (NeurIPS, 2023)

Towards Open-Domain Topic Classification. - Hantian Ding; Jinrui Yang; Yuqian Deng; Hongming Zhang 009; Dan Roth 001 (CoRR, 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., 2023)

Code Representation Learning at Scale. - Dejiao Zhang; Wasi Uddin Ahmad; Ming Tan; Hantian Ding; Ramesh Nallapati; Dan Roth 001; Xiaofei Ma 001; Bing Xiang (ICLR, 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 022; Jiacheng Guo; Liangfu Chen; Parminder Bhatia; Ramesh Nallapati; Sudipta Sengupta; et al. (ICML, 2024)

Fewer Truncations Improve Language Modeling. - Hantian Ding; Zijian Wang 002; Giovanni Paolini; Varun Kumar; Anoop Deoras; Dan Roth 001; Stefano Soatto (ICML, 2024)

Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning. - Yifeng Ding; Hantian Ding; Shiqi Wang 002; Qing Sun; Varun Kumar; Zijian Wang 002 (CoRR, 2024)

Learning Code Preference via Synthetic Evolution. - Jiawei Liu 004; Thanh Nguyen; Mingyue Shang; Hantian Ding; Xiaopeng Li 002; Yu Yu; Varun Kumar; Zijian Wang 002 (CoRR, 2024)

Cyber-Zero: Training Cybersecurity Agents without Runtime. - Terry Yue Zhuo; Dingmin Wang; Hantian Ding; Varun Kumar; Zijian Wang 002 (CoRR, 2025)