Lausen, Leonard

6 publications

AAAI 2023 Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

NeurIPS 2023 HyTrel: Hypergraph-Enhanced Tabular Data Representation Learning Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis

NeurIPS 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis

NeurIPSW 2023 Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks Soumajyoti Sarkar, Leonard Lausen

JMLR 2020 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

NeurIPS 2017 Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo