Michael Y. Hu
5 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(17)
Top co-authors
Research topics
Natural Language Processing
(4)
Machine Learning
(3)
Generation
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Interdisciplinary
(2)
Optimization & Theory · Machine Learning
(2)
Architectures
(1)
Cognitive Science
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Linguistics
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
language modeling
(2)
pre-trained language model
(2)
online learning
(1)
cognitive modeling
(1)
question answering
(1)
multimodal learning
(1)
stratified sampling
(1)
inductive bia
(1)
language model
(1)
scaling law
(1)
downstream task
(1)
data efficiency
(1)
attention head
(1)
formal language
(1)
sample-efficient learning
(1)
regression model
(1)
model performance
(1)
syntactic generalization
(1)
linguistic generalization
(1)
linguistic bia
(1)
Papers
Aioli: A Unified Optimization Framework for Language Model Data Mixing
ICLR 2025
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
ACL 2025
Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data
EMNLP 2025
Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
EMNLP 2025
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
CoNLL 2024