Leon Bergen
12 papers · 2013–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(7)
Natural Language Processing
(7)
Applications
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
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(3)
Optimization & Theory
(3)
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(2)
Computer Science
(1)
Keywords
large language model
(3)
benchmark dataset
(2)
few-shot learning
(1)
semantic parsing
(1)
information retrieval
(1)
program synthesis
(1)
query reformulation
(1)
regularization technique
(1)
neural network optimization
(1)
word recognition
(1)
synthetic data generation
(1)
evaluation framework
(1)
relational reasoning
(1)
constraint satisfaction
(1)
context modeling
(1)
document retrieval
(1)
boolean satisfiability
(1)
language model
(1)
annotation cost
(1)
representation learning
(1)
Papers
Quiet Feature Learning in Algorithmic Tasks
AAAI 2026
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
ICML 2025
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models
ICLR 2025
Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark
EMNLP 2025
IR2: Information Regularization for Information Retrieval
COLING 2024
Scientific Document Retrieval using Multi-level Aspect-based Queries
NeurIPS 2023
Systematic Generalization with Edge Transformers
NeurIPS 2021
Predicting Reference: What do Language Models Learn about Discourse Models?
EMNLP 2020
Speakers enhance contextually confusable words
ACL 2020
Word Frequency Does Not Predict Grammatical Knowledge in Language Models
EMNLP 2020
Constraint-based Learning of Phonological Processes
EMNLP 2019
Arguments and Modifiers from the Learnerβs Perspective
ACL 2013