Leonard Lausen
9 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(26)
🧭
Keyword Pioneer
Top co-authors
Research topics
Keywords
code language model
(2)
deep learning
(2)
large language model
(2)
code completion
(2)
program synthesis
(2)
inductive bia
(1)
hypergraph learning
(1)
transfer learning
(1)
task relatedness
(1)
weather forecasting
(1)
program analysis
(1)
recurrent neural network
(1)
natural language processing
(1)
model training
(1)
training dynamics
(1)
model convergence
(1)
pre-trained model
(1)
tabular data
(1)
code generation
(1)
computer vision
(1)
Papers
Understanding Silent Data Corruption in LLM Training
ACL 2025
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
AAAI 2023
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
NeurIPS 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs
NeurIPS 2023
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
NAACL 2022
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
Dive into Deep Learning for Natural Language Processing
EMNLP 2019
Dive into Deep Learning for Natural Language Processing
IJCNLP 2019
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
NeurIPS 2017