Leonard Lausen
9 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (8) π Cross-Pollinator (12)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π
Trend Setter
Conferences
NIPS (3)
AAAI (1)
ACL (1)
EMNLP (1)
IJCNLP (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
program synthesis
(2)
large language model
(2)
code language model
(2)
code completion
(2)
deep learning
(2)
code generation
(1)
recurrent neural network
(1)
transfer learning
(1)
program analysis
(1)
task relatedness
(1)
natural language processing
(1)
model training
(1)
model convergence
(1)
training dynamics
(1)
downstream performance
(1)
model deployment
(1)
weather forecasting
(1)
pretrained model
(1)
bug detection
(1)
computer vision
(1)
Papers
Understanding Silent Data Corruption in LLM Training
ACL 2025
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
NIPS 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs
NIPS 2023
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
AAAI 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
NIPS 2017