Leonard Lausen

23 papers A* 3C 1Misc 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Connecting the Impact of Silent Data Corruption With Different Training Characteristics: An Empirical Study.
IEEE Micro
Hengzhi Pei, Leonard Lausen, George Karypis
2025 — conf
Understanding Silent Data Corruption in LLM Training.
ACL (1)
Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis
2025 J jnl
Understanding Silent Data Corruption in LLM Training.
CoRR
Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis
2025 C conf
When Silicon Fails Silently: Characterizing Hardware-Induced Corruption in LLM Training.
IOLTS
Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis
2024 — conf
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning.
ENLSP
Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Thomas Brox, Sheng Zha, George Karypis
2024 J jnl
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning.
CoRR
Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Sheng Zha, Thomas Brox, George Karypis
2023 A* conf
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion.
AAAI
Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
2023 J jnl
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion.
CoRR
Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
2023 J jnl
HYTREL: Hypergraph-enhanced Tabular Data Representation Learning.
CoRR
Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
2023 A* conf
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning.
NeurIPS
Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
2023 A* conf
Large Language Models of Code Fail at Completing Code with Potential Bugs.
NeurIPS
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2023 J jnl
Large Language Models of Code Fail at Completing Code with Potential Bugs.
CoRR
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2023 J jnl
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks.
CoRR
Soumajyoti Sarkar, Leonard Lausen
2022 — conf
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning.
NAACL-HLT
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
2022 J jnl
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning.
CoRR
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
2022 J jnl
Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic.
CoRR
Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta, Leonard Lausen, Sheng Zha, Saab Mansour
2020 J jnl
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J. Mach. Learn. Res.
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
2019 — conf
Dive into Deep Learning for Natural Language Processing.
EMNLP/IJCNLP (2)
Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola
2019 J jnl
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
CoRR
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
2017 — conf
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model.
NIPS
Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2017 J jnl
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model.
CoRR
Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2017 J jnl
NSML: A Machine Learning Platform That Enables You to Focus on Your Models.
CoRR
Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim
2016 Misc conf
CrowdRisk: exploring crowdsourcing of risk information.
OZCHI
Leonard Lausen, Markus Rittenbruch, Peta Mitchell, Ella Horton, Marcus Foth